Bibliography

[1] K. K. Shivashankara, “Electrocardiogram Image Digitization,” Master's thesis, Electrical & Computer Engineering, Engineering, Georgia Institute of Technology, 8 2022, supervised by: Dr. Reza Sameni. [ bib ]
[2] N. Kheram, “Modeling and Denoising of Phonocardiogram Signals,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 9 2019, supervised by: Dr. Reza Sameni. [ bib ]
[3] M. Maghsoudi, “Tracking and Estimating Biological Branching Structures,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 9 2019, supervised by: Dr. Reza Sameni. [ bib ]
[4] A. Kazemnejad, “Analysis of Synchronous Electrocardiogram and Phonocardiogram Parameters Extracted from Normal Subjects,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, September 2018, supervised by: Dr. Reza Sameni. [ bib ]
[5] M.-A. Abbasi, “Design and Implementation of Parametric RTL Tools for Linear Algebraic Calculations,” Master's thesis, Computer Architecture, School of Electrical & Computer Engineering, Shiraz University, 2 2018, supervised by: Dr. Reza Sameni. [ bib ]
[6] R. D. Pascual-Marqui, C. M. Michel, and D. Lehmann, “Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain,” International Journal of psychophysiology, vol. 18, no. 1, pp. 49--65, 1994. [ bib ]
[7] M. J. Barton, P. A. Robinson, S. Kumar, A. Galka, H. F. Durrant-Whyte, J. Guivant, and T. Ozaki, “Evaluating the Performance of Kalman-Filter-Based EEG Source Localization,” IEEE Transactions on Biomedical Engineering, vol. 56, no. 1, pp. 122--136, 2009. [ bib | DOI ]
[8] V. Oikonomou, A. Tzallas, and D. Fotiadis, “A Kalman filter based methodology for EEG spike enhancement,” Computer Methods and Programs in Biomedicine, vol. 85, no. 2, pp. 101--108, 2007. [ bib | DOI ]
[9] R. D. Pascual-Marqui et al., “Standardized low-resolution brain electromagnetic tomography (sloreta): technical details,” Methods Find Exp Clin Pharmacol, vol. 24, no. Suppl D, pp. 5--12, 2002. [ bib ]
[10] K. Abed-Meraim, A. Chkeif, and Y. Hua, “Fast orthonormal PAST algorithm,” Signal Processing Letters, IEEE, vol. 7, no. 3, pp. 60 --62, march 2000. [Online]. Available: http://dx.doi.org/10.1109/97.823526bib | http ]
[11] A. H. Omidvarnia, M. Mesbah, M. S. Khlif, J. M. O'Toole, P. B. Colditz, and B. Boashash, “Kalman filter-based time-varying cortical connectivity analysis of newborn EEG,” in 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, pp. 1423--1426. [ bib | DOI ]
[12] G. Moody, T. Pollard, and B. Moody, “WFDB Software Package,” 2021. [Online]. Available: https://physionet.org/content/wfdb/10.6.2/bib | DOI | http ]
[13] F. Brauer, C. Castillo-Chavez, and C. Castillo-Chavez, Mathematical models in population biology and epidemiology. Springer, 2012, vol. 2. [ bib ]
[14] B. L. Scala and R. Bitmead, “Design of an extended Kalman filter frequency tracker,” IEEE Transactions on Signal Processing, vol. 44, no. 3, pp. 739--742, Mar. 1996. [ bib | DOI ]
[15] L. Pellis, F. Ball, and P. Trapman, “Reproduction numbers for epidemic models with households and other social structures. I. Definition and calculation of R0,” Mathematical biosciences, vol. 235, no. 1, pp. 85--97, 2012. [ bib ]
[16] G. E. Karniadakis, I. G. Kevrekidis, L. Lu, P. Perdikaris, S. Wang, and L. Yang, “Physics-informed machine learning,” Nature Reviews Physics, vol. 3, no. 6, pp. 422--440, May 2021. [Online]. Available: https://doi.org/10.1038/s42254-021-00314-5bib | DOI | http ]
[17] T. Britton, “Stochastic epidemic models: a survey,” Mathematical biosciences, vol. 225, no. 1, pp. 24--35, 2010. [ bib ]
[18] G. de Vries, T. Hillen, M. Lewis, B. Schõnfisch, and J. Muller, A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods, ser. Monographs on Mathematical Modeling and Computation. Society for Industrial and Applied Mathematics, 2006. [ bib ]
[19] J. C. Miller, “Distribution of outbreak sizes for SIR disease in finite populations,” arXiv preprint arXiv:1907.05138, 2019. [ bib ]
[20] R. Sameni and M. Samieinasab, “Shiraz University Fetal Heart Sounds Database,” 2021. [Online]. Available: https://physionet.org/content/sufhsdb/1.0.1/bib | DOI | http ]
[21] A. Kazemnejad, P. Gordany, and R. Sameni, “EPHNOGRAM: A Simultaneous Electrocardiogram and Phonocardiogram Database,” 2021. [Online]. Available: https://physionet.org/content/ephnogram/1.0.0/bib | DOI | http ]
[22] R. Abeysekera, “Some physiologically meaningful features obtained from Fourier descriptors of vectorcardiograph,” IEEE Eng. Med. Biol. Mag., vol. 10, pp. 58--63, 1991. [ bib ]
[23] D. Hernando, A. Hernando, J. A. Casajús, P. Laguna, N. Garatachea, and R. Bailón, “Methodological framework for heart rate variability analysis during exercise: application to running and cycling stress testing,” Medical & Biological Engineering & Computing, vol. 56, no. 5, pp. 781--794, Sep. 2017. [Online]. Available: https://doi.org/10.1007/s11517-017-1724-9bib | DOI | http ]
[24] D. G. Strauss and D. D. Schocken, Marriott's practical electrocardiography, 13th ed. Philadelphia: Wolters Kluwer, 2021. [ bib ]
[25] A. Houghton, Making sense of the ECG: a hands-on guide. CRC press, 2019. [ bib ]
[26] R. Sameni and C. Jutten, “A Hypothesis Testing Approach to Nonstationary Source Separation,” in 2021 IEEE Statistical Signal Processing Workshop (SSP), Rio de Janeiro, Brazil. IEEE, Jul. 2021. [Online]. Available: https://doi.org/10.1109/ssp49050.2021.9513811bib | http ]
[27] F. Kusumoto, ECG interpretation: from pathophysiology to clinical application. Springer Nature, 2020. [ bib ]
[28] L. Patomaki, J. Kaipio, and P. Karjalainen, “Tracking of nonstationary EEG with the roots of ARMA models,” in Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, vol. 2, 1995, pp. 877--878 vol.2. [ bib | DOI ]
[29] A. Y. Hannun, P. Rajpurkar, M. Haghpanahi, G. H. Tison, C. Bourn, M. P. Turakhia, and A. Y. Ng, “Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,” Nature Medicine, vol. 25, no. 1, pp. 65--69, Jan. 2019. [Online]. Available: https://doi.org/10.1038/s41591-018-0268-3bib | DOI | http ]
[30] L. Sornmo, P. O. Borjesson, M.-E. Nygards, and O. Pahlm, “A method for evaluation of QRS shape features using a mathematical model for the ECG,” IEEE Transactions on Biomedical Engineering, vol. BME-28, no. 10, pp. 713--717, Oct. 1981. [Online]. Available: https://doi.org/10.1109/tbme.1981.324666bib | DOI | http ]
[31] G. Reeves, H. D. Pfister, and A. Dytso, “Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels,” in 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, jun 2018. [Online]. Available: https://dx.doi.org/10.1109/isit.2018.8437326bib | http ]
[32] P. S. Addison, “Wavelet transforms and the ECG: a review,” Physiological Measurement, vol. 26, no. 5, pp. R155--R199, Aug. 2005. [Online]. Available: https://doi.org/10.1088/0967-3334/26/5/r01bib | DOI | http ]
[33] G. J. J. Warmerdam, R. Vullings, L. Schmitt, J. O. E. H. V. Laar, and J. W. M. Bergmans, “A Fixed-Lag Kalman Smoother to Filter Power Line Interference in Electrocardiogram Recordings,” IEEE Transactions on Biomedical Engineering, vol. 64, no. 8, pp. 1852--1861, Aug. 2017. [ bib | DOI ]
[34] F. Abramovich and Y. Benjamini, “Thresholding of wavelet coefficients as multiple hypotheses testing procedure,” in Wavelets and Statistics, A. A. and O. G., Eds. Springer-Verlag, 1995, vol. 103, pp. 5--14. [ bib ]
[35] C. Sullivan, “Systems Course (ENGS 22),” 2014. [Online]. Available: http://www.dartmouth.edu/~sullivan/engs22.htmlbib | .html ]
[36] B. Ingalls, An Introduction to Mathematical Modelling in Molecular Systems Biology. Department of Applied Mathematics, University of Waterloo, 2012. [ bib ]
[37] M. Blomhøj, T. Kjeldsen, and J. Ottesen, “Compartment models,” January 2014. [Online]. Available: http://www4.ncsu.edu/$~$msolufse/Compartmentmodels.pdfbib | .pdf ]
[38] N. Chitnis, “Introduction to Mathematical Epidemiology: Deterministic Compartmental Models,” Universität Basel, Mathematisches Institut, Swiss Tropical and Public Health Institute, Autumn 2011. [Online]. Available: http://www.luchsinger-mathematics.ch/ME-DeterministicCompartmentalModels.pdfbib | .pdf ]
[39] P. Fishwick, Handbook of Dynamic System Modeling, ser. Chapman & Hall/CRC Computer and Information Science Series. Taylor & Francis, 2007. [ bib ]
[40] J. L. Schiff, Cellular automata: a discrete view of the world. John Wiley & Sons, 2008. [ bib ]
[41] S. Audoly, G. Bellu, L. D'Angio, M. P. Saccomani, and C. Cobelli, “Global identifiability of nonlinear models of biological systems,” Biomedical Engineering, IEEE Transactions on, vol. 48, no. 1, pp. 55--65, 2001. [ bib ]
[42] T. K. Moon, “The expectation-maximization algorithm,” Signal processing magazine, IEEE, vol. 13, no. 6, pp. 47--60, 1996. [ bib ]
[43] C. B. Do and S. Batzoglou, “What is the expectation maximization algorithm?” Nature biotechnology, vol. 26, no. 8, pp. 897--899, 2008. [ bib ]
[44] J. Norman. (2017) Normal Regulation of Blood Glucose. Https://www.endocrineweb.com/conditions/diabetes/normal-regulation-blood-glucose. [Online]. Available: https://www.endocrineweb.com/conditions/diabetes/normal-regulation-blood-glucosebib | http ]
[45] R. Haberman, Elementary Applied Partial Differential Equations: With Fourier Series and Boundary Value Problems. Prentice Hall, 1998. [ bib ]
[46] J. Stolwijk and J. Hardy, “Regulation and control in physiology,” Medical physiology, vol. 2, pp. 1343--1358, 1974. [ bib ]
[47] R. N. Bergman, Y. Z. Ider, C. R. Bowden, and C. Cobelli, “Quantitative estimation of insulin sensitivity,” American Journal of Physiology-Endocrinology And Metabolism, vol. 236, no. 6, p. E667, 1979. [ bib ]
[48] A. De Gaetano and O. Arino, “Mathematical modelling of the intravenous glucose tolerance test,” Journal of mathematical biology, vol. 40, no. 2, pp. 136--168, 2000. [ bib ]
[49] E. Friis-Jensen, “Modeling and simulation of glucose-insulin metabolism,” in Congress Lyngby, 2007. [Online]. Available: http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/5312/pdf/imm5312.pdfbib | .pdf ]
[50] G. Steil, B. Clark, S. Kanderian, and K. Rebrin, “Modeling insulin action for development of a closed-loop artificial pancreas,” Diabetes technology & therapeutics, vol. 7, no. 1, pp. 94--108, 2005. [ bib ]
[51] J. J. Batzel, F. Kappel, D. Schneditz, and H. T. Iran, Cardiovascular and Respiratory Systems Modeling, Analysis, and Control. SIAM, 2007. [ bib ]
[52] S. M. Narayan, Advanced methods and tools for ECG data analysis, Chapter 7. Artech House, Inc., 2006. [ bib ]
[53] E. Andrianantoandro, S. Basu, D. K. Karig, and R. Weiss, “Synthetic biology: new engineering rules for an emerging discipline,” Molecular systems biology, vol. 2, no. 1, 2006. [ bib ]
[54] R. C. Dorf and R. H. Bishop, Modern Control Systems, 13th ed. Pearson Prentice Hall, 2021. [ bib ]
[55] K. Ogata, Modern control engineering, 5th ed. Prentice hall, 2010. [ bib ]
[56] P. M. Agante and J. P. M. de Sá, “ECG Noise Filtering Using Wavelets with Soft-thresholding Methods,” in Proc. Computers in Cardiology'99, 1999, pp. 535--542. [ bib ]
[57] M. Akay, M. Akay, and E. Mulder, “Examining fetal heart-rate variability using matching pursuits,” IEEE Eng. Med. Biol. Mag., vol. 15, no. 5, pp. 64--67, 1996. [Online]. Available: http://dx.doi.org/10.1109/51.537061bib | http ]
[58] L. Akbari, “Random Circuit Generation for Evaluation of Different Levels of Synthesis and Implementation of Reconfigurable Circuits,” Master's thesis, Computer Architecture, School of Electrical & Computer Engineering, Shiraz University, 9 2017, supervised by: Dr. Reza Sameni. [ bib ]
[59] I. E. Commission, Particular requirements for the basic safety and essential performance of ambulatory electrocardiographic systems, International Standard Std. ANSI/AAMI/IEC 60601–2-47, 2016. [ bib ]
[60] R. Bruce, “Exercise testing of patients with coronary artery disease,” Ann Clin Res, vol. 3, pp. 323--332, 1971. [ bib ]
[61] Q. Li, R. G. Mark, and G. D. Clifford, “Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter,” Physiological measurement, vol. 29, no. 1, p. 15, 2007. [ bib ]
[62] M. C. Allen, P. K. Donohue, and A. E. Dusman, “The limit of viability -- neonatal outcome of infants born at 22 to 25 weeks' gestation,” Bull. Soc. Roy. Belg. Gynec. Obstet., vol. 329, no. 22, pp. 1597--1601, Oct 1993. [ bib ]
[63] P. J. Allen, O. Josephs, , and R. Turner, “A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI,” Neuroimage, vol. 12, no. 2, pp. 230--239, August 2000. [ bib ]
[64] P. J. Allen, G. Polizzi, K. Krakow, D. R. Fish, and L. Lemieux, “Identification of EEG Events in the MR Scanner: The Problem of Pulse Artifact and a Method for Its Subtraction,” Neuroimage, vol. 8, no. 3, pp. 229--239, October 1998. [ bib ]
[65] R. L. Allen and D. W. Mills, Signal analysis: time, frequency, scale, and structure. IEEE Press, 2004. [ bib ]
[66] American College of Obstetricians and Gynecologists and others, “ACOG Practice Bulletin No. 106: Intrapartum fetal heart rate monitoring: nomenclature, interpretation, and general management principles,” Obstetrics and gynecology, vol. 114, no. 1, p. 192, 2009. [ bib ]
[67] I. Amer-Wahlin, C. Hellsten, H. Noren, H. Hagberg, A. Herbst, I. Kjellmer, H. Lilja, C. Lindoff, M. Mansson, L. Martensson, P. Olofsson, A. Sundstrom, and K. Marsal, “Cardiotocography only versus cardiotocography plus st analysis of fetal electrocardiogram for intrapartum fetal monitoring: a swedish randomised controlled trial,” Lancet, vol. 358, pp. 534--538, 2001. [Online]. Available: http://dx.doi.org/10.1016/S0140-6736(01)05703-8bib | http ]
[68] I. Silva and G. B. Moody, “An open-source toolbox for analysing and processing physionet databases in MATLAB and Octave,” Journal of open research software, vol. 2, no. 1, 2014. [ bib | DOI ]
[69] I. Amer-Wahlin, K. Kallen, A. Herbst, H. Rydhstroem, A. Sundstrom, and K. Marsal, “Implementation of new medical techniques: experience from the swedish randomized controlled trial on fetal ecg during labor,” J Matern Fetal Neonatal Med, vol. 18, pp. 93--100, 2005. [Online]. Available: http://dx.doi.org/10.1080/14767050500233191bib | http ]
[70] L. Amini, R. Sameni, C. Jutten, G. Hossein-Zadeh, and H. Soltanian-Zadeh, “MR Artifact Reduction in the Simultaneous Acquisition of EEG and fMRI of Epileptic Patients,” in EUSIPCO2008 - 16th European Signal Processing Conf., Lausanne, Switzerland, August 25-29 2008. [ bib ]
[71] D. Anastassiou, “Genomic signal processing,” Signal Processing Magazine, IEEE, vol. 18, no. 4, pp. 8 --20, jul. 2001. [Online]. Available: http://dx.doi.org/10.1109/79.939833bib | http ]
[72] B. D. O. Anderson and J. B. Moore, Optimal Filtering. Dover Publications, Inc., 1979. [ bib ]
[73] C. W. Anderson, E. A. Stolz, and S. Shamsunder, “Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks.” IEEE Trans. Biomed. Eng., vol. 45, no. 3, pp. 277--286, Mar 1998. [ bib ]
[74] R. Andreao, B. Dorizzi, and J. Boudy, “ECG signal analysis through hidden Markov models,” Biomedical Engineering, IEEE Transactions on, vol. 53, no. 8, pp. 1541 --1549, aug. 2006. [Online]. Available: http://dx.doi.org/10.1109/TBME.2006.877103bib | http ]
[75] G. R. Arce, Nonlinear Signal Processing: A Statistical Approach. New York: John Wiley & Sons Inc., 2004. [ bib ]
[76] G. Arfken, H. Weber, and F. Harris, Mathematical Methods For Physicists International Student Edition. Elsevier Science, 2005. [ bib ]
[77] R. M. Arthur, D. G. Beetner, H. D. Ambos, and M. E. Cain, “Improved Estimation of Pericardial Potentials From Body-Surface Maps Using Individualized Torso Models,” J. of Electrocardiology, vol. 31(supp.), pp. 106--113, 1999. [ bib ]
[78] M. Astrom, E. Santos, L. Sörnmo, P. Laguna, and B. Wohlfart, “Vectorcardiographic loop alignment and the measurement of morphologic beat-to-beat variability in noisy signals,” Biomedical Engineering, IEEE Transactions on, vol. 47, no. 4, pp. 497--506, April 2000. [Online]. Available: http://dx.doi.org/10.1109/10.828149bib | http ]
[79] L. D. Avendaño-Valencia, L. E. Avendaño, C. G. Castellanos-Domínguez, and E. J. Villegas-Jaramillo, “Reduction of power line interference on ecg signals using kalman filtering and delta operator,” in 23rd ISPE International Conference on CAD/CAM robotics and factories of the future 2007, 2007. [ bib ]
[80] L. D. Avendaño-Valencia, L. E. Avendaño, J. Ferrero, and Castellanos-Domínguez, “Improvement of an extended Kalman filter power line interference suppressor for ECG signals,” in 2007 Computers in Cardiology. IEEE, Sep. 2007, pp. 553 --556. [ bib | DOI ]
[81] B. Azzerboni, F. La Foresta, N. Mammone, and F. C. Morabito, “A new approach based on wavelet-ica algorithms for fetal electrocardiogram extraction.” in Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN 2005), 2005, pp. 193--198. [ bib ]
[82] M. Akhbari, M. B. Shamsollahi, C. Jutten, A. A. Armoundas, and O. Sayadi, “ECG denoising and fiducial point extraction using an extended Kalman filtering framework with linear and nonlinear phase observations,” Physiological Measurement, vol. 37, no. 2, pp. 203--226, Jan. 2016. [Online]. Available: https://doi.org/10.1088/0967-3334/37/2/203bib | DOI | http ]
[83] F. Bach and M. Jordan, “Beyond independent components: trees and clusters,” Journal of Machine Learning Research, vol. 4, pp. 1205--1233, 2003. [Online]. Available: http://cmm.ensmp.fr/~bach/bach03a.pdfbib | .pdf ]
[84] F. R. Bach and M. I. Jordan, “Kernel independent component analysis,” Journal of machine learning research, vol. 3, no. Jul, pp. 1--48, 2002. [ bib ]
[85] J. J. Bailey, A. S. Berson, and A. J. Garson, “Recommendations for standardization and specifications in automated electrocardiography: bandwidth and digital signal processing.” Circulation, vol. 81, pp. 730--739, 1990. [ bib ]
[86] P. N. Baker, I. R. Johnson, P. A. Gowland, J. Hykin, V. Adams, P. Mansfield, and B. S. Worthington, “Measurement of fetal liver, brain and placental volumes with echo-planar magnetic resonance imaging.” Br J Obstet Gynaecol, vol. 102, no. 1, pp. 35--39, Jan 1995. [ bib ]
[87] G. Barbati, C. Porcaro, F. Zappasodi, P. Rossini, and F. Tecchio, “Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals,” Clin Neurophysiol, vol. 115, pp. 1220--1232, 2004. [ bib ]
[88] R. Barr, “Genesis of the electrocardiogram,” in Comprehensive Electrocardiology, P. W. Macfarlane and T. T. V. Lawrie, Eds. Oxford: Pergamon Press, 1989, ch. 5, pp. 129--151. [ bib ]
[89] A. Barros, A. Mansour, and N. Ohnishi, “Removing artifacts from ECG signals using independent components analysis,” Neurocomputing, vol. 22, pp. 173--186, 1998. [ bib ]
[90] A. K. Barros and A. Cichocki, “Extraction of specific signals with temporal structure.” Neural Comput, vol. 13, no. 9, pp. 1995--2003, Sep 2001. [Online]. Available: http://dx.doi.org/10.1162/089976601750399272bib | http ]
[91] S. Bartelmaos and K. Abed-Meraim, “Fast principal component extraction using givens rotations,” Signal Processing Letters, IEEE, vol. 15, pp. 369 --372, 2008. [Online]. Available: http://dx.doi.org/10.1109/LSP.2008.920006bib | http ]
[92] D. Barton, Radar Technology Encyclopedia. Artech House, Incorporated, 1997. [ bib ]
[93] I. Baser, T. R. Johnson, and L. L. Paine, “Coupling of fetal movement and fetal heart rate accelerations as an indicator of fetal health,” Obstetrics & gynecology, vol. 80, no. 1, pp. 62--66, 1992. [ bib ]
[94] J. Bednar and T. Watt, “Alpha-trimmed means and their relationship to median filters,” Acoustics, Speech, and Signal Processing, IEEE Transactions on, vol. 32, no. 1, pp. 145--153, February 1984. [ bib ]
[95] J. Behar, J. Oster, Q. Li, and G. D. Clifford, “Ecg signal quality during arrhythmia and its application to false alarm reduction,” Biomedical Engineering, IEEE Transactions on, vol. 60, no. 6, pp. 1660--1666, 2013. [ bib ]
[96] J. Behar, A. Wolfberg, T. Zhu, J. Oster, A. Niksch, D. Mah, T. Chun, J. Greenberg, C. Tanner, J. Harrop, A. V. Esbroeck, A. Alexander, M. McCarroll, T. Drake, A. Silber, R. Sameni, J. Ward, and G. Clifford, “Evaluation of the fetal QT interval using non-invasive fetal ECG technology,” in American Journal of Obstetrics and Gynecology, vol. 210. New Orleans, LA: Society for Maternal-Fetal Medicine, February 2014, pp. S283--S284. [Online]. Available: https://doi.org/10.1016/j.ajog.2013.10.609bib | http ]
[97] J. Behar, T. Zhu, J. Oster, A. Niksch, D. Y. Mah, T. Chun, J. Greenberg, C. Tanner, J. Harrop, R. Sameni, J. Ward, A. J. Wolfberg, and G. D. Clifford, “Evaluation of the fetal QT interval using non-invasive fetal ECG technology,” Physiological Measurement, vol. 37, no. 9, pp. 1392--1403, September 2016. [Online]. Available: https://doi.org/10.1088/0967-3334/37/9/1392bib | http ]
[98] R. T. Behrens and L. L. Scharf, “Signal processing applications of oblique projection operators,” IEEE Trans. Signal Processing, vol. 42, pp. 1413--1424, 1994. [ bib ]
[99] R. Bellman, Dynamic Programming. Princeton University Press, Princeton, NJ., 1957, republished 2003: Dover. [ bib ]
[100] A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, and E. Moulines, “A Blind Source Separation Technique Using Second-Order Statistics,” IEEE Trans. Signal Processing, vol. 45, pp. 434--444, Feb. 1997. [ bib ]
[101] J. Ben-Arie and K. Rao, “Nonorthogonal representation of signals by Gaussians and Gabor functions,” IEEE Trans. Circuits Syst. II, vol. 42, no. 6, pp. 402--413, June 1995. [ bib ]
[102] N. Benoudjit and M. Verleysen, “On the Kernel Widths in Radial-Basis Function Networks,” Neural Processing Letters, vol. 18, pp. 139--154, Oct. 2003. [ bib ]
[103] P. Bergveld and W. J. H. Meijer, “A New Technique for the Suppression of the MECG,” Biomedical Engineering, IEEE Transactions on, vol. BME-28, no. 4, pp. 348--354, April 1981. [Online]. Available: http://dx.doi.org/10.1109/TBME.1981.324803bib | http ]
[104] N. Bienati, U. Spagnolini, and M. Zecca, “An adaptive blind signal separation based on the joint optimization of givens rotations,” in Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on, vol. 5, 2001, pp. 2809 --2812 vol.5. [Online]. Available: http://dx.doi.org/10.1109/ICASSP.2001.940230bib | http ]
[105] G. Bierman, Factorization Methods for Discrete Sequential Estimation, ser. Dover Books on Mathematics Series. Dover Publications, 2006. [ bib ]
[106] H. Biglari, “Fetal Motion Tracking from Non-Invasive Cardiac Signal Recordings,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 2015, supervised by: Dr. Reza Sameni. [ bib ]
[107] H. Biglari and R. Sameni, “Fetal motion estimation from noninvasive cardiac signal recordings,” Physiological Measurement, vol. 37, no. 11, pp. 2003--2023, November 2016. [Online]. Available: https://doi.org/10.1088/0967-3334/37/11/2003bib | http ]
[108] C. Bishop, Neural Networks for Pattern Recognition. New York: Oxford University Press, 1995. [ bib ]
[109] S. Bittanti and S. Savaresi, “On the parametrization and design of an extended Kalman filter frequency tracker,” Automatic Control, IEEE Transactions on, vol. 45, no. 9, pp. 1718 --1724, sep 2000. [Online]. Available: http://dx.doi.org/10.1109/9.880631bib | http ]
[110] Å. Björck and G. H. Golub, “Numerical methods for computing angles between linear subspaces,” Math. Comp., vol. 27, pp. 579--594, 1973. [ bib ]
[111] B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K.-R. Muller, “Optimizing Spatial filters for Robust EEG Single-Trial Analysis,” Signal Processing Magazine, IEEE, vol. 25, no. 1, pp. 41--56, 2008. [Online]. Available: http://dx.doi.org/10.1109/MSP.2008.4408441bib | http ]
[112] T. Blaschke and L. Wiskott, “Independent slow feature analysis and nonlinear blind source separation,” in International Conference on Independent Component Analysis and Signal Separation. Springer, 2004, pp. 742--749. [ bib ]
[113] T. Blaschke, T. Zito, and L. Wiskott, “Independent slow feature analysis and nonlinear blind source separation,” Neural computation, vol. 19, no. 4, pp. 994--1021, 2007. [ bib ]
[114] S. L. Bloom, C. Y. Spong, E. Thom, M. W. Varner, D. J. Rouse, S. Weininger, S. M. Ramin, S. N. Caritis, A. Peaceman, Y. Sorokin, A. Sciscione, M. Carpenter, B. Mercer, J. Thorp, F. Malone, M. Harper, J. Iams, and G. Anderson, “Fetal pulse oximetry and cesarean delivery,” N Engl J Med, vol. 355, no. 21, pp. 2195--2202, 2006, for the National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. [Online]. Available: http://dx.doi.org/10.1056/NEJMoa061170bib | arXiv | http ]
[115] T. Blum, E. Saling, and R. Bauer, “First magnetoencephalographic recordings of the brain activity of a human fetus,” Br J Obstet Gynaecol., vol. 92, pp. 1224--1229, 1985. [ bib ]
[116] B. Boashash, “Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals,” Proceedings of the IEEE, vol. 80, no. 4, pp. 520--538, Apr 1992. [Online]. Available: http://dx.doi.org/10.1109/5.135376bib | http ]
[117] ------, “Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications,” Proceedings of the IEEE, vol. 80, no. 4, pp. 540--568, 1992. [ bib ]
[118] A. D. Bocking, “Assessment of fetal heart rate and fetal movements in detecting oxygen deprivation in-utero,” European Journal of Obstetrics & Gynecology and Reproductive Biology, vol. 110, pp. S108--S112, 2003. [ bib ]
[119] S. Bogaerts, J. D. Clements, J. M. Sullivan, and S. Oleskevich, “Automated threshold detection for auditory brainstem responses: comparison with visual estimation in a stem cell transplantation study,” BMC Neuroscience, vol. 10, no. 104, pp. 1--7, 2009. [ bib ]
[120] G. Bonmassar, P. L. Purdon, I. P. Jaaskelainen, K. Chiappa, V. Solo, E. N. Brown, and J. W. Belliveau, “Motion and ballistocardiogram artifact removal for interleaved recording of EEG and EPs during MRI,” NeuroImage, vol. 16, no. 4, pp. 1127--1141, 2002. [ bib ]
[121] A.-O. Boudraa and J.-C. Cexus, “EMD-Based Signal Filtering,” Instrumentation and Measurement, IEEE Transactions on, vol. 56, no. 6, pp. 2196--2202, Dec 2007. [Online]. Available: http://dx.doi.org/10.1109/TIM.2007.907967bib | http ]
[122] R. Bousseljot, D. Kreiseler, and A. Schnabel, “Nutzung der EKG-Signaldatenbank CARDIODAT der PTB uber das Internet,” Biomedizinische Technik, vol. 40, no. 1, pp. S317--S318, 1995. [ bib ]
[123] S. Boyd and L. Vandenberghe, Convex optimization. Cambridge university press, 2004. [ bib ]
[124] R. A. Brace and E. J. Wolf, “Normal amniotic fluid volume changes throughout pregnancy.” Am J Obstet Gynecol, vol. 161, no. 2, pp. 382--388, Aug 1989. [ bib ]
[125] D. S. Broomhead and G. P. King, “Extracting qualitative dynamics from experimental data,” Physica D, vol. 20, no. 2-3, pp. 217--236, 1986. [Online]. Available: http://dx.doi.org/10.1016/0167-2789(86)90031-Xbib | http ]
[126] C. Brunner, R. Leeb, G. R. Müller-Putz, A. Schlögl, and G. Pfurtscheller, “BCI Competion 2008 -- Graz Dataset A,” Jul 2008. [Online]. Available: http://ida.first.fraunhofer.de/projects/bci/competition\_iv/desc\_2a.pdfbib | .pdf ]
[127] B-U Köhler, C. Hennig, and R. Orglmeister, “The principles of software QRS detection. Review and comparing algorithms for detecting this important ECG waveform,” IEEE Eng. Med. Biol. Mag., vol. 21, pp. 42--57, Jan/Feb 2002. [ bib ]
[128] R. B. Buxton, K. Uludag, D. J. Dubowitz, and T. T. Liu, “Modeling the hemodynamic response to brain activation,” NeuroImage, vol. 23, no. Supplement 1, pp. S220 -- S233, 2004, mathematics in Brain Imaging. [Online]. Available: http://dx.doi.org/10.1016/j.neuroimage.2004.07.013bib | http ]
[129] D. Callaerts, “Signal separation methods based on singular value decomposition and their application to the real-time extraction of the fetal electrocardiogram from cutaneous recordings,” Ph.D. dissertation, K.U.Leuven - E.E. Dept., Dec. 1989. [ bib ]
[130] J. Behar, “Extraction of clinical information from the non-invasive fetal electrocardiogram,” Ph.D. dissertation, Balliol College, University of Oxford, UK, September 2014. [Online]. Available: https://arxiv.org/abs/1606.01093bib | http ]
[131] E. A. Kheirati Roonizi, “Adaptive model-based cardiac signals analysis and feature extraction,” Ph.D. dissertation, School of Computer Science, University of Milan, Italy, 2017. [Online]. Available: https://air.unimi.it/retrieve/handle/2434/468106/764783/phd_unimi_R10774.pdfbib | .pdf ]
[132] D. Callaerts, W. Sansen, J. Vandewalle, G. Vantrappen, and J. Janssens, “Description of a real-time system to extract the fetal electrocardiogram,” Clinical Physics and Physiological Measurement, vol. 10, no. 4B, pp. 7--10, 1989. [Online]. Available: http://stacks.iop.org/0143-0815/10/7bib | http ]
[133] D. Callaerts, J. Vanderschoot, J. Vandewalle, W. Sansen, G. Vantrappen, and J. Janssens, “An adaptive on-line method for the extraction of the complete fetal electrocardiogram from cutaneous multilead recordings,” J Perinatal Medicine, vol. 14, pp. 421--432, 1986. [ bib ]
[134] D. Calvetti, S. Morigi, L. Reichel, and F. Sgallari, “Tikhonov regularization and the l-curve for large discrete ill-posed problems,” Journal of Computational and Applied Mathematics, vol. 123, no. 1?2, pp. 423 -- 446, 2000, numerical Analysis 2000. Vol. III: Linear Algebra. [Online]. Available: http://dx.doi.org/10.1016/S0377-0427(00)00414-3bib | http ]
[135] Ç. Candan and H. Inan, “A unified framework for derivation and implementation of Savitzky--Golay filters,” Signal Processing, vol. 104, pp. 203--211, 2014. [ bib ]
[136] J. V. Candy, Model-Based Signal Processing. Wiley-IEEE Press, 2005. [ bib ]
[137] L. Cao and A. Mees, “Deterministic structure in mutli-channel physiological data,” Int. J. Bif. Chaos, vol. 10, no. 12, pp. 2767--2780, December 2000. [ bib ]
[138] J. Cardoso, “On the performance of orthogonal source separation algorithms,” in Proc. EUSIPCO, 1994, pp. 776--779. [ bib ]
[139] J. F. Cardoso and A. Souloumiac, “Blind beamforming for non Gaussian signals,” IEE Proceedings-F, vol. 140, no. 6, pp. 362--370, 1993. [ bib ]
[140] J.-F. Cardoso, Blind Source Separation and Independent Component Analysis, 2005. [Online]. Available: http://www.tsi.enst.fr/~cardoso/guidesepsou.htmlbib | .html ]
[141] ------, “High-order contrasts for independent component analysis,” Neural Comput., vol. 11, no. 1, pp. 157--192, 1999. [Online]. Available: http://dx.doi.org/10.1162/089976699300016863bib | http ]
[142] ------, “Multidimensional independent component analysis,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '98), vol. 4, May 1998, pp. 1941--1944. [ bib ]
[143] ------, “Blind signal separation: statistical principles,” Proc. IEEE, vol. 86, no. 10, pp. 2009--2025, 1998. [Online]. Available: http://dx.doi.org/10.1109/5.720250bib | http ]
[144] ------, “Perturbation of joint diagonalizers. ref# 94d027,” Télécom Paris, Tech. Rep., 1994. [ bib ]
[145] ------, “Eigen-structure of the fourth-order cumulant tensor with application to the blind source separation problem,” in Proc. ICASSP, 1990, pp. 2655--2658. [ bib ]
[146] ------, “Source separation using higher order moments,” in Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on. IEEE, 1989, pp. 2109--2112. [ bib ]
[147] J.-F. Cardoso and P. Comon, “Independent component analysis, a survey of some algebraic methods,” in Proc. ISCAS'96, vol. 2, 1996, pp. 93--96. [ bib ]
[148] J.-F. Cardoso and B. Laheld, “Equivariant adaptive source separation,” Signal Processing, IEEE Transactions on, vol. 44, no. 12, pp. 3017 --3030, dec 1996. [Online]. Available: http://dx.doi.org/10.1109/78.553476bib | http ]
[149] J.-F. Cardoso and A. Souloumiac, “Jacobi angles for simultaneous diagonalization,” SIAM J. Mat. Anal. Appl., vol. 17, no. 1, pp. 161--164, Jan. 1996. [ bib ]
[150] E. Carson and C. Cobelli, Modeling Methodology for Physiology and Medicine, ser. Academic Press Series in Biomedical Engineering. Acad. Press, 2001. [ bib ]
[151] M. Chávez, M. Le Van Quyen, V. Navarro, M. Baulac, and J. Martinerie, “Spatio-temporal dynamics prior to neocortical seizures: amplitude versus phase couplings,” IEEE Transactions on Biomedical Engineering, vol. 50, no. 5, pp. 571--583, 2003. [ bib ]
[152] B. Champagne and Q.-G. Liu, “Plane Rotation-Based EVD Updating Schemes for Efficient Subspace Tracking,” IEEE transacation on signal processing, vol. 46, pp. 1886--1998, July 1998. [ bib ]
[153] M. Chavez, M. Besserve, C. Adam, and J. Martinerie, “Towards a proper estimation of phase synchronization from time series,” Journal of neuroscience methods, vol. 154, no. 1, pp. 149--160, 2006. [ bib ]
[154] M. Chen, R. T. Wakai, and B. V. Veen, “Eigenvector based spatial filtering of fetal biomagnetic signals.” J Perinat Med, vol. 29, no. 6, pp. 486--496, 2001. [ bib ]
[155] S. Chen, E. S. Chng, and K. Alkadhimi, “Regularized Orthogonal Least Squares Algorithm for Constructing Radial Basis Function Networks,” Int J. Control, vol. 64, pp. 829--837, 1996. [ bib ]
[156] Z. Chen, “Bayesian filtering: from kalman filters to particle filters, and beyond,” 2003, adaptive Syst. Lab., McMaster Univ., Hamilton, ON, Canada. [Online]. Available: http://soma.crl.mcmaster.ca/~zhechen/ieee_bayes.psbib | .ps ]
[157] D. K. Cheng, Field and Wave Electromagnetics, 2nd ed. Addison-Wesley, Reading, Mass., 1989. [ bib ]
[158] I. I. Christov and I. K. Daskalov, “Filtering of electromyogram artifacts from the electrocardiogram,” Medical Engineering and Physics, vol. 21, pp. 731--736, 1999. [ bib ]
[159] A. Cichocki and S.-i. Amari, Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications. John Wiley & Sons, Inc., 2002. [ bib ]
[160] G. Clifford, “A novel framework for signal representation and source separation,” Journal of Biological Systems, vol. 14, no. 2, pp. 169--183, June 2006. [ bib ]
[161] G. Clifford, F. Azuaje, and P. McSharry, Advanced methods and tools for ECG data analysis, ser. Artech House engineering in medicine & biology series. Artech House, 2006. [ bib ]
[162] G. Clifford, S. Nemati, and R. Sameni, “An Artificial Vector Model for Generating Abnormal Electrocardiographic Rhythms,” Physiological Measurements, vol. 31, no. 5, pp. 595--609, May 2010. [Online]. Available: https://dx.doi.org/10.1088/0967-3334/31/5/001bib | http ]
[163] ------, “An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms,” in Computers in Cardiology, 2008, Bologna, Italy, September 14--17 2008, pp. 773--776. [ bib ]
[164] G. Clifford, R. Sameni, J. Ward, J. Robinson, and A. J. Wolfberg, “Clinically accurate fetal ECG parameters acquired from maternal abdominal sensors,” American Journal of Obstetrics and Gynecology, vol. 205, no. 1, pp. 47.e1--47.e5, July 2011. [Online]. Available: https://doi.org/10.1016/j.ajog.2011.02.066bib | http ]
[165] G. D. Clifford and P. E. McSharry, “A realistic coupled nonlinear artificial ECG, BP, and respiratory signal generator for assessing noise performance of biomedical signal processing algorithms,” Proc of SPIE International Symposium on Fluctuations and Noise, vol. 5467, no. 34, pp. 290--301, 2004. [ bib ]
[166] G. D. Clifford, R. Sameni, J. Ward, J. Robertson, C. Pettigrew, and A. J. Wolfberg, “Comparing the fetal ST-segment acquired using a FSE and abdominal sensors,” in American Journal of Obstetrics and Gynecology, vol. 201. Chicago, IL: Society for Maternal-Fetal Medicine, December 2009, pp. S242--S242. [Online]. Available: http://dx.doi.org/10.1016/j.ajog.2009.10.535bib | http ]
[167] G. D. Clifford, A. Shoeb, P. E. McSharry, and B. A. Janz, “Model-based filtering, compression and classification of the ECG,” in Proceedings of Bioelectromagnetism and 5th International Symposium on Noninvasive Functional Source Imaging within the Human Brain and Heart (BEM & NFSI), Minnesota, USA, May 2005. [ bib ]
[168] ------, “Model-based Filtering, Compression and Classification of the ECG,” International Journal of Bioelectromagnetism, vol. 7, no. 1, pp. 158--161, 2005. [ bib ]
[169] G. D. Clifford and L. Tarassenko, “One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats,” IEE Electronic Letters, vol. 37, no. 18, pp. 1126--1127, Aug 2001. [ bib ]
[170] L. Cohen, P. Loughlin, and D. Vakman, “On an ambiguity in the definition of the amplitude and phase of a signal,” Signal Processing, vol. 79, no. 3, pp. 301--307, 1999. [ bib ]
[171] P. Comon, “Supervised classification, a probabilistic approach,” in ESANN-European Symposium on Artificial Neural Networks, Verleysen, Ed. Brussels: D facto Publ., Apr 19-21 1995, pp. 111--128, [invited paper]. [ bib ]
[172] ------, “Independent Component Analysis,” in Proc. Int. Sig. Proc. Workshop on Higher-Order Statistics, Chamrousse, France, July 10-12 1991, pp. 111--120. [ bib ]
[173] P. Comon and C. Jutten, Handbook of Blind Source Separation: Independent Component Analysis and Applications, ser. Independent Component Analysis and Applications Series. Elsevier Science, 2010. [ bib ]
[174] WebMD, Fetal Positions, WebMD Inc., 2005. [Online]. Available: http://www.webmd.com/content/tools/1/slide_fetal_pos.htmbib | http ]
[175] A. Almasi, M. B. Shamsollahi, and L. Senhadji, “Bayesian denoising framework of phonocardiogram based on a new dynamical model,” {IRBM}, vol. 34, no. 3, pp. 214 -- 225, 2013. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1959031813000559bib | DOI | http ]
[176] M. Congedo, C. Jutten, R. Sameni, and C. Gouy-Pailler, “A new General Weighted Least-Squares Algorithm for Approximate Joint Diagonalization,” in Proceedings of the 4th International BCI Workshop, Graz, Austria, 2008. [ bib ]
[177] T. Cormen, C. Leiserson, R. Rivest, and C. Stein, Introduction To Algorithms. MIT Press, 2001. [ bib ]
[178] F. T. Cosimo Del Gratta, Vittorio Pizzella and G. L. Romani, “Magnetoencephalography - a noninvasive brain imaging method with 1 ms time resolution,” Reports on Progress in Physics, vol. 64, no. 12, pp. 1759--1814, 2001. [Online]. Available: http://stacks.iop.org/0034-4885/64/1759bib | http ]
[179] D. Cosmelli, O. David, J. P. Lachaux, J. Martinerie, L. Garnero, B. Renault, and F. Varela, “Waves of consciousness: ongoing cortical patterns during binocular rivalry,” Neuroimage, vol. 23, pp. 128--140, 2004. [ bib ]
[180] M. Cremer, “Über die Direkte Ableitung der Aktionstrome des Menschlichen Herzens vom Oesophagus und Über das Elektrokardiogramm des Fetus,” Münchener Medizinische Wochenschrift, vol. 53, pp. 811--813, April 1906. [ bib ]
[181] O. Dössel, “Inverse problem of electro- and magnetocardiography: review and recent progress,” Int. J. Bioelectromagnetism, vol. 2, no. 2, 2000. [Online]. Available: http://www.ijbem.org/volume2/number2/doessel/paper.htmbib | http ]
[182] A. A. Damen and J. Van Der Kam, “The use of the singular value decomposition in electrocardiography,” Med Biol Eng Comput, vol. 20, no. 4, pp. 473--82, July 1982. [ bib ]
[183] P. Dash, R. Jena, G. Panda, and A. Routray, “An extended complex kalman filter for frequency measurement of distorted signals,” Instrumentation and Measurement, IEEE Transactions on, vol. 49, no. 4, pp. 746 --753, aug 2000. [Online]. Available: http://dx.doi.org/10.1109/19.863918bib | http ]
[184] W. B. Davenport and W. L. Root, An introduction to the theory of random signals and noise. McGraw-Hill New York, 1958, vol. 159. [ bib ]
[185] M. Davies, “Identifiability Issues in Noisy ICA,” IEEE Signal Processing Lett., vol. 11, no. 5, pp. 470--473, 2004. [ bib ]
[186] R. W. De Boer, J. M. Karemaker, and J. Strackee, “Hemodynamic fluctuations and baroreflex sensitivity in humans: a beat-to-beat model,” Am. J. Physiol., vol. 253, pp. 680--689, 1987. [ bib ]
[187] B. De Moor, Database for the Identification of Systems (DaISy), 1997. [Online]. Available: http://homes.esat.kuleuven.be/~smc/daisy/bib | http ]
[188] R. D. DeGroat, E. M. Dowling, and D. A. Linebarger, “Subspace tracking,” in The Digital Signal Processing Handbook. CRC and IEEE Press, 1998, ch. 66, pp. 66.1--66.15. [ bib ]
[189] P. Demartines and J. Herault, “Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets,” Neural Networks, IEEE Transactions on, vol. 8, no. 1, pp. 148--154, Jan 1997. [Online]. Available: http://dx.doi.org/10.1109/72.554199bib | http ]
[190] Y. Deng, W. Wolf, R. Schnell, and U. Appel, “New aspects to event-synchronous cancellation of ECG interference: an application of the method in diaphragmatic EMG signals,” Biomedical Engineering, IEEE Transactions on, vol. 47, no. 9, pp. 1177--1184, Sept. 2000. [Online]. Available: http://dx.doi.org/10.1109/10.867924bib | http ]
[191] J. Dennis and R. Schnabel, “Numerical methods for unconstrained optimization and nonlinear equations,” Siam, vol. 16, 1983. [ bib ]
[192] D. Devedeux, C. Marque, S. Mansour, G. Germain, and J. Duch?ne, “Uterine electromyography: a critical review.” Am J Obstet Gynecol, vol. 169, no. 6, pp. 1636--1653, Dec 1993. [ bib ]
[193] D. L. Donoho, “De-noising by soft-thresholding,” IEEE Trans. Inform. Theory, vol. 41, pp. 613--627, 1995. [ bib ]
[194] D. L. Donoho and I. M. Johnstone, “Adapting to unknown smoothness via wavelet shrinkage,” Journal of the American Statistical Association, vol. 90, no. 432, pp. 1200--1224, 1995. [ bib ]
[195] S. Doostkam, “Design and Implementation of a Portable Assistive System for Visually Impared People,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 9 2016, supervised by: Dr. Reza Sameni. [ bib ]
[196] E. Doron, E. Doron, A. Yeredor, and P. Tichavsky, “Cramér-Rao-Induced Bound for Blind Separation of Stationary Parametric Gaussian Sources,” IEEE Signal Processing Lett., vol. 14, no. 6, pp. 417--420, 2007. [ bib | DOI ]
[197] E. Dougherty, A. Datta, and C. Sima, “Research issues in genomic signal processing,” Signal Processing Magazine, IEEE, vol. 22, no. 6, pp. 46 -- 68, nov. 2005. [ bib | DOI ]
[198] E. Dougherty, G. Stolovitzky, L. Tabus, and X. Wang, “Signal processing in genomics [from the guest editors],” Signal Processing Magazine, IEEE, vol. 24, no. 1, pp. 16 --16, jan. 2007. [ bib | DOI ]
[199] S. Douglas, “Combined Subspace Tracking, Prewhitening, and Contrast Optimization for Noisy Blind Signal Separation ,” in Proc. 2nd IEEE Int. Workshop on Independent Component Analysis and Source Separation, Helsinki, Finland, June 2000, pp. 579--584. [ bib ]
[200] G. E. Dower, H. B. Machado, and J. A. Osborne, “On deriving the electrocardiogram from vectorcardiographic leads,” Clin. Cardiol., vol. 3, p. 87, 1980. [ bib ]
[201] M. Dragosevic and S. Stankovic, “An adaptive notch filter with improved tracking properties,” Signal Processing, IEEE Transactions on, vol. 43, no. 9, pp. 2068 --2078, sep 1995. [ bib | DOI ]
[202] J. A. Drose, Fetal Echocardiography. Saunders W B Co, 1998. [ bib ]
[203] R. Dubois, P. Roussel, M. Vaglio, F. Extramiana, F. Badilini, P. Maison-Blanche, and G. Dreyfus, “Efficient modeling of ecg waves for morphology tracking,” in Computers in Cardiology, 2009, 2009, pp. 313--316. [ bib ]
[204] P. M. Dumuid, B. S. Cazzolato, and A. C. Zander, “A comparison of filter design structures for multi-channel acoustic communication systems,” The Journal of the Acoustical Society of America, vol. 123, no. 1, pp. 174--185, 2008. [ bib ]
[205] C. Dym, Principles of Mathematical Modeling, 2e, ser. Principles of Mathematical Modeling. Academic Press, 2004. [ bib ]
[206] L. Edenbrandt and O. Pahlm, “Vectorcardiogram synthesized from a 12-lead ECG: Superiority of the inverse Dower matrix,” J. Electrocardiol., vol. 21, p. 361, 1988. [ bib ]
[207] B. Ehsandoust, “Nonlinear source separation,” Ph.D. dissertation, Sharif University of Technology and Communauté Université Grenoble Alpes, May 2018. [ bib ]
[208] W. Einthoven, “Über die Form des menschlichen electrocardiogramms,” Arch Gesamte Physiol., vol. 60, pp. 101--123, 1895. [ bib ]
[209] Y. Eldar, “Generalized SURE for Exponential Families: Applications to Regularization,” Signal Processing, IEEE Transactions on, vol. 57, no. 2, pp. 471--481, Feb 2009. [ bib | DOI ]
[210] M. Espy, A. Matlachov, R. Kraus, and J. Betts, “SQUID noise as a function of temperature: a survey of three SQUID's,” Applied Superconductivity, IEEE Transactions on, vol. 13, no. 2, pp. 731 -- 734, june 2003. [ bib | DOI ]
[211] H. Eswaran, C. L. Lowery, J. D. Wilson, P. Murphy, and H. Preissl, “Fetal magnetoencephalography�a multimodal approach,” Developmental Brain Research, vol. 154, no. 1, pp. 57 -- 62, 2005. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0165380604003062bib | DOI | http ]
[212] H. Eswaran, H. Preissl, J. D. Wilson, P. Murphy, S. E. Robinson, D. Rose, J. Vrba, and C. Lowery, “Short-term serial magnetoencephalography recordings of fetal auditory evoked responses,” Neuroscience letters, vol. 331, no. 2, pp. 128--132, 2002. [ bib ]
[213] L. C. Evans, “An Introduction to Stochastic Differential Equations,” Lecture notes: Version 1.2. [Online]. Available: http://math.berkeley.edu/~evans/bib | http ]
[214] M. L. Farquharson, “Estimating the parameters of polynomial phase signals,” Ph.D. dissertation, Queensland University of Technology, 2006. [ bib ]
[215] A. G. Farvet, “Computer Matched Filter Location of Fetal R-Waves,” Medical & Biological Engineering, vol. 6, no. 5, pp. 467--475, September 1968. [ bib ]
[216] M. Fatemi, “Application of Subspace Tracking Techniques for Fetal Cardiac Signal Extraction,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 3 2013, supervised by: Dr. Reza Sameni. [ bib ]
[217] M. Fatemi, M. Niknazar, and R. Sameni, “A Robust Framework for Noninvasive Extraction of Fetal Electrocardiogram Signals,” in Proceedings of the 40th Annual International Conference on Computers in Cardiology, Zaragoza, Spain, September 22-25 2013, pp. 201--204. [ bib ]
[218] M. Fatemi and R. Sameni, “An Online Subspace Denoising Algorithm for Maternal ECG Removal from Fetal ECG Signals,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 2017, pp. 1--15, April 2017. [Online]. Available: http://dx.doi.org/10.1007/s40998-017-0018-4bib | http ]
[219] ------, “Application of second and higher order subspace tracking in multichannel data analysis,” in Biomedical Engineering (ICBME), 2013 20th Iranian Conference on, Dec 2013, pp. 161--165. [Online]. Available: http://dx.doi.org/10.1109/ICBME.2013.6782211bib | http ]
[220] D. Fattahi, “A Statistical Framework for Cardiac Parameter Estimation,” Ph.D. dissertation, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 2017, [Due date: 2021], Supervised by: Dr. Reza Sameni. [ bib ]
[221] N. Katebi, “Detection of adverse events in pregnancy using a low cost 1D Doppler ultrasound signal,” Ph.D. dissertation, Department of Biomedical Informatics, Emory University, 2021, [Due date: 2021], Co-supervised with Dr. Gari Clifford. [ bib ]
[222] D. Fattahi and R. Sameni, “Cramér-rao lower bounds of model-based electrocardiogram parameter estimation,” IEEE Transactions on Signal Processing, pp. 1--12, 2022. [Online]. Available: https://doi.org/10.1109/tsp.2022.3182113bib | http ]
[223] D. Fattahi, R. Sameni, E. Grooby, K. Tan, L. Zhou, A. King, A. Ramanathan, A. Malhotra, and F. Marzbanrad, “A blind filtering framework for noisy neonatal chest sounds,” IEEE Access, vol. 10, pp. 50715--50727, 2022. [Online]. Available: https://doi.org/10.1109/access.2022.3170052bib | http ]
[224] J. Fell and N. Axmacher, “The role of phase synchronization in memory processes,” Nature reviews neuroscience, vol. 12, no. 2, pp. 105--118, 2011. [ bib ]
[225] M. Ferdjallah and R. Barr, “Adaptive digital notch filter design on the unit circle for the removal of powerline noise from biomedical signals,” Biomedical Engineering, IEEE Transactions on, vol. 41, no. 6, pp. 529--536, June 1994. [ bib | DOI ]
[226] A. Ferreol and P. Chevalier, “On the Behavior of Current Second and Higher Order Blind Source Separation Methods for Cyclostationary Sources,” IEEE Trans. Signal Processing, vol. 48, pp. 1712--1725, June 2000. [ bib ]
[227] D. G. Fink and H. W. Beaty, Standard Handbook for Electrical Engineers,, 1978, ISBN 0-07-020974-X, page 16-15, 16-16, 15th ed. McGraw-Hill, 2006. [ bib ]
[228] N. Firoozi, “A Hardware Architecture for Efficient Implementation of Elementary Functions,” Master's thesis, Computer Architecture, School of Electrical & Computer Engineering, Shiraz University, 9 2018, supervised by: Dr. Reza Sameni. [ bib ]
[229] P. Flandrin, Time-frequency/time-scale analysis, ser. Wavelet analysis and its applications. Academic Press, 1999. [ bib ]
[230] G. F. Fletcher, G. Balady, V. F. Froelicher, L. H. Hartley, W. L. Haskell, and M. L. Pollock, “Exercise Standards : A Statement for Healthcare Professionals From the American Heart Association,” Circulation, vol. 91, no. 2, pp. 580--615, 2001. [Online]. Available: http://circ.ahajournals.orgbib | http ]
[231] I. K. Fodor, “A survey of dimension reduction techniques,” U.S. Department of Energy, Tech. Rep., June 2002. [Online]. Available: https://e-reports-ext.llnl.gov/pdf/240921.pdfbib | .pdf ]
[232] E. Frank, “An Accurate, Clinically Practical System For Spatial Vectorcardiography,” Circulation, vol. 13, no. 5, pp. 737--749, 1956. [Online]. Available: http://circ.ahajournals.org/cgi/content/abstract/13/5/737bib | arXiv | http ]
[233] G. F. Franklin, J. D. Powell, and M. L. Workman, Digital control of dynamic systems. Addison-Wesley, 1998. [ bib ]
[234] R. L. Freeman WJ, “Fine temporal resolution of analytic phase reveals episodic synchronization by state transitions in gamma eeg,” Journal of Neurophysiology, vol. 87, p. 937?945, 2002. [ bib ]
[235] R. K. Freeman, T. J. Garite, and M. P. Nageotte, Fetal heart rate monitoring, 2nd, Ed. Williams & Wilkins, 1991. [ bib ]
[236] W. J. Freeman, “Hilbert transform for brain waves,” Scholarpedia, vol. 2, no. 1, p. 1338, 2007. [ bib ]
[237] W. J. Freeman, B. C. Burke, and M. D. Holmes, “Aperiodic phase re-setting in scalp eeg of beta--gamma oscillations by state transitions at alpha--theta rates,” Human brain mapping, vol. 19, no. 4, pp. 248--272, 2003. [ bib ]
[238] L. Frenkel and M. Feder, “Recursive Expectation-Maximization (EM) Algorithms for Time-varying Parameters with Applications to Multiple Target Tracking,” IEEE Transactions on Signal Processing, vol. 47, pp. 306--320, Feb. 1999. [ bib ]
[239] G. M. Friesen, T. C. Jannett, M. A. Jadallah, S. L. Yates, S. R. Quint, and H. T. Nagle, “A comparison of the noise sensitivity of nine QRS detection algorithms,” IEEE Trans. Biomed. Eng., vol. 37, no. 1, pp. 85--98, 1990. [ bib ]
[240] K. J. Friston, “Functional and effective connectivity: a review,” Brain connectivity, vol. 1, no. 1, pp. 13--36, 2011. [ bib ]
[241] K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed. Academic Press, New York, 1990. [ bib ]
[242] H. Gävert, J. Hurri, J. Särelä, and A. Hyvärinen, The FastICA package for MATLAB - Version 2.1, 2001. [Online]. Available: http://www.cis.hut.fi/projects/ica/fastica/bib | http ]
[243] D. Gabor and C. V. Nelson, “Determination of the Resultant Dipole of the Heart from Measurements on the Body Surface,” J. Appl. Phys., vol. 25, no. 4, pp. 413--416, 1954. [ bib | DOI ]
[244] W. Gander, “Least squares with a quadratic constraint,” Numerische Mathematik, vol. 36, no. 3, pp. 291--307, 1980. [ bib ]
[245] P. Gao, E.-C. Chang, and L. Wyse, “Blind Separation of Fetal ECG from Single Mixture using SVD and ICA,” in Proceedings of ICICS-PCM 2003, December 2003, pp. 1418--1422. [ bib ]
[246] E. Genevier, A. Deans, M. Carter, and P. Steer, “Separation of fetal and maternal ECG complexes from a mixed signal using an algorithm based on linear regression,” Medical Engineering & Physics, vol. 17, no. 7, pp. 514--522, October 1995. [ bib ]
[247] D. B. Geselowitz, “On the Theory of the Electrocardiogram,” Proc. IEEE, vol. 77, pp. 857--876, Jun. 1989. [ bib ]
[248] ------, “On the theory of the electrocardiogram,” Proceedings of the IEEE, vol. 77, no. 6, pp. 857--876, 1989. [ bib ]
[249] ------, “On bioelectric potentials in an inhomogeneous volume conductor,” Biophys J, vol. 7, pp. 1--11, 1967. [ bib ]
[250] R. G. Ghanem and P. D. Spanos, Stochastic finite elements: a spectral approach. Courier Dover Publications, 2003. [ bib ]
[251] F. Giordano, First Course in Mathematical Modeling. Simon & Schuster, 2008. [ bib ]
[252] J. Glover, J., “Adaptive Noise Canceling Applied to Sinusoidal Interferences,” Acoustics, Speech and Signal Processing, IEEE Transactions on, vol. 25, no. 6, pp. 484 -- 491, dec 1977. [ bib ]
[253] A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and H. E. Stanley, “PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals,” Circulation, vol. 101, no. 23, pp. e215--e220, June 2000, circulation Electronic Pages: http://circ.ahajournals.org/cgi/content/full/101/23/e215. [ bib ]
[254] G. Golub and C. van Loan, Matrix Computations, 3rd ed. The Johns Hopkins University Press, 1996. [ bib ]
[255] G. H. Golub, P. C. Hansen, and D. P. O'Leary, “Tikhonov regularization and total least squares,” SIAM Journal on Matrix Analysis and Applications, vol. 21, no. 1, pp. 185--194, 1999. [ bib ]
[256] A. V. N. Goodyer, A. J. Geiger, and W. M. Monroe, “Clinical fetal electrocardiography,” The Yale journal of biology and medicine, vol. 15, no. 1, pp. 1--19, 1942. [ bib ]
[257] J. W. Gordon and J. O. Smith, “A sine generation algorithm for VLSI applications,” in Proc. 1985 Int. Computer Music Conf., Vancouver, Computer Music Association. Computer Music Association, 1985. [ bib ]
[258] A. Gotchev, N. Nikolaev, and K. Egiazarian, “Improving the transform domain ECG denoising performance by applying interbeat and intra-beat decorrelating transforms,” in Proc. of the 2001 IEEE International Symposium on Circuits and Systems; IEEE Circuits and Systems Society 2001, Sydney, Australia, 2001, pp. 17--20. [ bib ]
[259] C. Gouy-Pailler, R. Sameni, M. Congedo, and C. Jutten, “Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings,” in Proc. of the 8th Intl. Conf. on Independent Component (ICA 2009), Paraty, Brazil, 2009, pp. 419--426. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-642-00599-2_53bib | http ]
[260] R. Govindan, S. Vairavan, U. Ulusar, J. Wilson, S. McKelvey, H. Preissl, and H. Eswaran, “A novel approach to track fetal movement using multi-sensor magnetocardiographic recordings,” Annals of biomedical engineering, vol. 39, no. 3, pp. 964--972, 2011. [ bib ]
[261] C. W. Granger, “Some recent development in a concept of causality,” Journal of econometrics, vol. 39, no. 1, pp. 199--211, 1988. [ bib ]
[262] D. Graupe, Y. Zhong, and M. H. Graupe, “Extracting fetal from maternal ecg for early diagnosis: theoretical problems and solutions - baf and ica,” in Proceedings of the fifth IASTED International Conference: biomedical engineering, ser. BIEN '07. Anaheim, CA, USA: ACTA Press, 2007, pp. 352--356. [Online]. Available: http://dl.acm.org/citation.cfm?id=1295494.1295558bib | http ]
[263] K. R. Greene and K. G. Rosen, “Long-term st waveform changes in the ovine fetal electrocardiogram: the relationship to spontaneous labour and intrauterine death,” Clinical Physics and Physiological Measurement, vol. 10, no. 4B, pp. 33--40, 1989. [Online]. Available: http://stacks.iop.org/0143-0815/10/33bib | http ]
[264] M. Grewal, L. Weill, and A. Andrews, Global Positioning Systems, Inertial Navigation, and Integration. Wiley, 2007. [ bib ]
[265] M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice Using Matlab, 2nd ed. John Wiley & Sons, Inc., 2001. [ bib ]
[266] R. Gribonval, L. Benaroya, E. Vincent, and C. Févotte, “Proposals for Performance Measurement in Source Separation,” in Proc. 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), Nara, Japan, Apr. 2003, pp. 763--768. [ bib ]
[267] B. Grimm, J. Haueisen, M. Huotilainen, S. Lange, P. van Leeuwen, T. Menendez, M. J. Peters, E. Schleussner, and U. Schneider, “Recommended standards for fetal magnetocardiography,” Pacing Clin. Electrophysiol., vol. 26, pp. 2121--2126, 2003. [ bib ]
[268] F. Grouiller, L. Vercueil, A. Krainik, C. Segebarth, P. Kahane, and O. David, “A comparative study of different artefact removal algorithms for EEG signals acquired during functional MRI,” NeuroImage, vol. 38, no. 1, pp. 124--37, 2007. [ bib ]
[269] R. Gulrajani, “The forward and inverse problems of electrocardiography,” Engineering in Medicine and Biology Magazine, IEEE, vol. 17, no. 5, pp. 84--101, 122, Sep/Oct 1998. [ bib | DOI ]
[270] E. J. Gumbel, Statistics of Extremes. Columbia University Press, 1958. [ bib ]
[271] A. Härmä, Frequency-warped autoregressive modeling and filtering. Helsinki University of Technology, Espoo, Finland, 2001. [Online]. Available: http://lib.tkk.fi/Diss/2001/isbn9512254603/bib | http ]
[272] L. Hadzievski, B. Bojovic, V. Vukcevic, P. Belicev, S. Pavlovic, Z. Vasiljevic-Pokrajcic, and M. Ostojic, “A novel mobile transtelephonic system with synthesized 12-lead ECG,” IEEE Trans. Inform. Technol. Biomed., vol. 8, pp. 428--438, Dec. 2004. [ bib ]
[273] J. Haefner, Modeling Biological Systems: Principles and Applications. Springer, 2005. [ bib ]
[274] M. Haghpanahi, R. Sameni, and D. A. Borkholder, “Scoring consensus of multiple ECG annotators by optimal sequence alignment,” in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. IEEE, 2014, pp. 1855--1859. [Online]. Available: https://doi.org/10.1109/EMBC.2014.6943971bib | http ]
[275] I. Dolzhikova, B. Abibullaev, R. Sameni, and A. Zollanvari, “An Ensemble CNN for Subject-Independent Classification of Motor Imagery-Based EEG,” in Engineering in Medicine and Biology Society (EMBC), 43rd Annual International Conference of the IEEE, Guadalajara, Mexico, Nov 1--5 2021. IEEE, 2021, pp. 1--6. [ bib ]
[276] S. Hamerling, F. Meinecke, and K.-R. Müller, “Analysing ICA components by injecting noise,” in Proceedings of the 4th Int. Symp. on Independent Component Analysis and Blind Source Separation (ICA2003), Nara, Japan, April 1-4 2003, pp. 149--154. [Online]. Available: http://www.lis.inpg.fr/pages_perso/bliss/deliverables/d19.htmlbib | .html ]
[277] P. Hamilton, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG,” Biomedical Engineering, IEEE Transactions on, vol. 43, no. 1, pp. 105--109, January 1996. [ bib | DOI ]
[278] P. C. Hansen, The L-curve and its use in the numerical treatment of inverse problems. IMM, Department of Mathematical Modelling, Technical Universityof Denmark, 1999. [ bib ]
[279] H. Hassani Saadi and R. Sameni, “Using matched filters for similarity search in genomic data,” in Proceedings of the 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), Shiraz, Iran, 2-3 May 2012 2012, pp. 469--472. [Online]. Available: https://doi.org/10.1109/AISP.2012.6313793bib | http ]
[280] H. Hassani Saadi, R. Sameni, and A. Zollanvari, “Interpretive time-frequency analysis of genomic sequences,” BMC Bioinformatics, vol. 18, no. 4, p. 154, 2017. [Online]. Available: http://dx.doi.org/10.1186/s12859-017-1524-0bib | http ]
[281] H. Hassani-Saadi, “Application of Signal Processing Algorithms for Non-numeric Data,” Master's thesis, Artificial Intelligence, School of Electrical & Computer Engineering, Shiraz University, 3 2013, supervised by: Dr. Reza Sameni. [ bib ]
[282] T. He, G. D. Clifford, and L. Tarassenko, “Application of ICA in removing artefacts from the ECG,” Neural Processing Letters, vol. 15, no. 2, pp. 105--116, 2006, in Press. [ bib ]
[283] R. C. Hilborn, Chaos and Nonlinear Dynamics, 2nd ed. Oxford University Press, 2000. [ bib ]
[284] K. E. Hild, G. Alleva, S. Nagarajan, and S. Comani, “Performance comparison of six independent components analysis algorithms for fetal signal extraction from real fMCG data,” Phys. Med. Biol., vol. 512, pp. 449--462, 2007. [Online]. Available: doi:10.1088/0031-9155/52/2/010bib | www: ]
[285] M. Hodges, “Rate Correction of the QT Interval,” Cardiac Electrophysiology Review, vol. 3, pp. 360--363, 1997. [ bib ]
[286] E. Hogenauer, “An economical class of digital filters for decimation and interpolation,” Acoustics, Speech and Signal Processing, IEEE Transactions on, vol. 29, no. 2, pp. 155--162, Apr 1981. [ bib | DOI ]
[287] P. Holmes, J. L. Lumley, and G. Berkooz, Turbulence, Coherent Structures, Dynamical Systems and Symmetry. Cambridge University Press, 1998. [ bib ]
[288] E. H. Hon, “The instrumentation of fetal heart rate and fetal electrocardiography i. a fetal heart rate monitor,” Conn Med, vol. 24, pp. 289--293, 1960. [ bib ]
[289] N. Horimoto, S. Morokuma, and H. Nakano, “Does maternal blood cortisol entrain fetal diurnal rhythm?” Early Human Development, vol. 76, no. 1, pp. 55--64, 2004. [ bib ]
[290] L. K. Hornberger and D. J. Sahn, “Rhythm abnormalities of the fetus.” Heart, vol. 93, no. 10, pp. 1294--1300, Oct 2007. [Online]. Available: http://dx.doi.org/10.1136/hrt.2005.069369bib | DOI | http ]
[291] D. Hoyer, F. Tetschke, S. Jaekel, S. Nowack, O. W. Witte, E. Schleußner, and U. Schneider, “Fetal functional brain age assessed from universal developmental indices obtained from neuro-vegetative activity patterns,” PloS one, vol. 8, no. 9, p. e74431, 2013. [ bib ]
[292] X. Hu and V. Nenov, “A single-lead ECG enhancement algorithm using a regularized data-driven filter,” Biomedical Engineering, IEEE Transactions on, vol. 53, pp. 347--351, Feb. 2006. [ bib ]
[293] M. Huotilainen, A. Kujala, M. Hotakainen, L. Parkkonen, S. Taulu, J. Simola, J. Nenonen, M. Karjalainen, and R. Naatanen, “Short-term memory functions of the human fetus recorded with magnetoencephalography,” vol. 19, pp. 81--84, 2005. [ bib ]
[294] J. W. Hurst, “Naming of the waves in the ECG, with a brief account of their genesis,” Circulation, vol. 98, no. 18, pp. 1937--1942, Nov 1998. [ bib ]
[295] A. Hyvärinen and P. Hoyer, “Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces,” Neural Computation, vol. 12, no. 7, pp. 1705--1720, 2000. [Online]. Available: citeseer.ist.psu.edu/hyv00emergence.htmlbib | .html ]
[296] A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis. Wiley-Interscience, 2001. [ bib ]
[297] A. Hyvärinen, J. Särelä, and R. Vigário, “Spikes and bumps: Artefacts generated by independent component analysis with insufficient sample size,” in Int. Workshop on Independent Component Analysis and Signal Separation (ICA'99), Aussois, France, 1999, pp. 425--429. [Online]. Available: http://citeseer.ist.psu.edu/513307.htmlbib | .html ]
[298] A. Hyvarinen, J. Karhunen, and E. Oja, Independent Component Analysis. Wiley-Interscience, 2001. [ bib ]
[299] Z. Ihara, A. van Oosterom, and R. Hoekema, “Atrial repolarization as observable during the PQ interval,” Journal of Electrocardiology, vol. 39, pp. 290--297, 2006. [ bib ]
[300] N. Ille, P. Berg, and M. Scherg, “Artifact correction of the ongoing EEG using spatial filters based on artifact and brain signal topographies.” J. Clin. Neurophysiol., vol. 19, no. 2, pp. 113--124, Apr 2002. [ bib ]
[301] M. H. In, S. Y. Lee, T. S. Park, T.-S. Kim, M. H. Cho, and Y. B. Ahn, “Ballistocardiogram artifact removal from eeg signals using adaptive filtering of eog signals,” Physiological Measurement, vol. 27, no. 11, pp. 1227--1240, 2006. [Online]. Available: http://stacks.iop.org/0967-3334/27/1227bib | http ]
[302] J. D. Jackson, Classical Electrodynamics, 3rd ed. John Wiley & Sons Inc., 1999. [ bib ]
[303] M. G. Jafari and J. A. Chambers, “Fetal electrocardiogram extraction by sequential source separation in the wavelet domain.” IEEE Trans Biomed Eng, vol. 52, no. 3, pp. 390--400, Mar 2005. [Online]. Available: http://dx.doi.org/10.1109/TBME.2004.842958bib | DOI | http ]
[304] ------, “Adaptive Noise Cancellation and Blind Source Separation,” in Proceedings of the 4th Int. Symp. on Independent Component Analysis and Blind Source Separation (ICA2003), Nara, Japan, April 1-4 2003, pp. 627--632. [Online]. Available: www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/data/0012.pdfbib | .pdf ]
[305] M. G. Jafari, W. Wang, J. A. Chambers, T. Hoya, and A. Cichocki, “Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals,” IEEE Trans. Signal Processing, vol. 54, pp. 1028--1040, March 2006. [ bib ]
[306] S. Jalaleddine, C. Hutchens, R. Strattan, and W. Coberly, “Ecg data compression techniques-a unified approach,” Biomedical Engineering, IEEE Transactions on, vol. 37, no. 4, pp. 329 --343, april 1990. [ bib | DOI ]
[307] F. Jamshidian-Tehrani, “Online Noninvasive Fetal Cardiac Signal Extraction,” Ph.D. dissertation, Artificial Intelligence, School of Electrical & Computer Engineering, Shiraz University, September 2019, supervised by: Dr. Reza Sameni. [ bib ]
[308] L. Jana, Early Fetal Heart Development: 0-9 Weeks, The Dr. Spock Company, 2004. [Online]. Available: http://www.drspock.com/article/0,1510,5287,00.htmlbib | .html ]
[309] A. Jazwinski, Stochastic Processes and Filtering Theory, ser. Mathematics in Science and Engineering. Elsevier Science, 1970. [ bib ]
[310] T. Jernberg, B. Lindahl, M. Högberg, and L. Wallentin, “Effects on QRS-waveforms and ST-T-segment by changes in body position during continuous 12-lead ECG: A preliminary report,” in Computers in Cardiology 1997. IEEE, 1997, pp. 461--464. [ bib ]
[311] E. R. John, “From synchronous neural discharges to subjective awareness?” Progress in Brain Research, vol. 150, pp. 143--171, 2005. [ bib ]
[312] ------, “The neurophysics of consciousness,” Brain Research Reviews, vol. 39, pp. 1--28, 2002. [ bib ]
[313] ------, Mechanisms of Memory. New York: Academic Press, 1968. [ bib ]
[314] D. Jones and B. SLEEMAN, Differential Equations and Mathematical Biology, ser. Hall/CRC Mathematical Biology & Medicine Series. Taylor & Francis Group, 2003. [ bib ]
[315] S. Julier, J. Uhlmann, and H. Durrant-Whyte, “A new method for the nonlinear transformation of means and covariances in filters and estimators,” IEEE Trans. Automat. Contr., vol. 45, pp. 477--482, Mar. 2000. [ bib ]
[316] S. J. Julier, J. K. Uhlmann, and H. F. Durrant-Whyte, “A New Approach for Filtering Nonlinear Systems,” in Proceedings of the Ameriacan Control Conference, vol. 3, 21-23 June 1995, pp. 1628--1632. [ bib ]
[317] T. Jung, C. Humphries, T. Lee, M. McKeown, V. Iragui, S. Makeig, and T. Sejnowski, “Removing electroencephalographic artifacts by blind source separation,” J. Psychophysiol., vol. 37, pp. 163--178, 2000. [ bib ]
[318] C. Jutten and J. Herault, “Blind separation of sources, part i: An adaptive algorithm based on neuromimetic architecture,” Signal Processing, vol. 24, pp. 1--10, 1991. [ bib ]
[319] C. Jutten, R. Sameni, and H. Hauksdóttir, “On the Relevance of Independent Components,” in Proc. of the ICA Research Network International Workshop (ICArn 2006), Liverpool, UK, September 18-19 2006, pp. 1--8. [ bib ]
[320] M. A. Kabir and C. Shahnaz, “Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains,” Biomedical Signal Processing and Control, vol. 7, no. 5, pp. 481--489, 2012. [ bib ]
[321] R. Y. Kadison and J. R. Ringrose, Fundamentals of the Theory of Operator Algebras. Academic Press, 1983, vol. I & II. [ bib ]
[322] M. J. Kahana, “The cogntivie correlates of human brain oscillations,” Journal of Neuroscience, vol. 26, pp. 1669--1672, 2006. [ bib ]
[323] T. Kailath, Linear Systems. Prentice Hall, 1980. [ bib ]
[324] T. Kailath, A. H. Sayed, and B. Hassibi, Linear Estimation. Prentice Hall, 2000. [ bib ]
[325] J. Kaipio and P. Karjalainen, “Estimation of event-related synchronization changes by a new tvar method,” Biomedical Engineering, IEEE Transactions on, vol. 44, no. 8, pp. 649 --656, 1997. [ bib | DOI ]
[326] P. Kanjilal, P. Kanjilal, S. Palit, and G. Saha, “Fetal ecg extraction from single-channel maternal ecg using singular value decomposition,” Biomedical Engineering, IEEE Transactions on, vol. 44, no. 1, pp. 51--59, 1997. [ bib | DOI ]
[327] P. P. Kanjilal, S. Palit, and G. Saha, “Fetal ECG extraction from single-channel maternal ECG using singular value decomposition,” Biomedical Engineering, IEEE Transactions on, vol. 44, pp. 51--59, Jan. 1997. [ bib ]
[328] H. Kantz and T. Schreiber, “Human ECG: nonlinear deterministic versus stochastic aspects,” vol. 145, no. 6, Nov 1998, pp. 279--284. [ bib ]
[329] F. Karimzadeh, R. Boostani, E. Seraj, and R. Sameni, “A distributed classification procedure for automatic sleep stage scoring based on instantaneous electroencephalogram phase and envelope features,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 2, pp. 362--370, Feb 2018. [Online]. Available: https://doi.org/10.1109/TNSRE.2017.2775058bib | http ]
[330] V. Kariniemi and K. Hukkinen, “Quantification of fetal heart rate variability by magnetocardiography and direct electrocardiography,” Am J Obstet Gynecol, vol. 128, no. 5, pp. 526--30, July 1977. [ bib ]
[331] R. Kautz, “Jim Zimmerman and the SQUID,” Applied Superconductivity, IEEE Transactions on, vol. 11, no. 1, pp. 1026 --1031, March 2001. [ bib | DOI ]
[332] S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice Hall PTR, 1993. [ bib ]
[333] ------, “Efficient Generation of Colored Noise,” Proc. IEEE, vol. 69, pp. 480--481, Apr. 1981. [ bib ]
[334] S. Kazel and B. Ebstein, “Precise pulse time-of-arrival measurements,” Proceedings of the IEEE, vol. 51, no. 9, pp. 1257--1258, sept. 1963. [ bib | DOI ]
[335] R. Kazinnik and G. Elber, “Orthogonal decomposition of non-uniform B-spline spaces using wavelets,” in EUROGRAPHICS 1997, Computer Graphics Forum, 1997, pp. 27--38. [ bib ]
[336] J. Keener and J. Sneyd, Mathematical Physiology: With 360 Illustrations, ser. Interdisciplinary applied mathematics: Mathematical biology. Springer Verlag, 1998. [ bib ]
[337] S. Keshavarzi, “Designing a Hardware Architecture for the Implementation of Online Subspace Tracking Algorithms,” Master's thesis, Computer Architecture, School of Electrical & Computer Engineering, Shiraz University, 9 2018, supervised by: Dr. Reza Sameni. [ bib ]
[338] H. A. Kestler, M. Haschka, W. Kratz, F. Schwenker, G. Palm, V. Hombach, and M. Höher, “Denoising of High-Resolution ECG-Signals by Combining the Discrete Wavelet Transform with the Wiener Filter,” in Proceedings IEEE Conference on Computers in Cardiology, 1998, pp. 233--236. [ bib ]
[339] A. Khamene and S. Negahdaripour, “A new method for the extraction of fetal ecg from the composite abdominal signal,” Biomedical Engineering, IEEE Transactions on, vol. 47, no. 4, pp. 507--516, April 2000. [ bib | DOI ]
[340] S. Khan, Digital Design of Signal Processing Systems: A Practical Approach. Wiley, 2011. [ bib ]
[341] S. Kharabian, “Fetal R-Wave Detection from Non-Invasive Magnetocardiogram Recordings,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Sharif University of Technology, 9 2009, jointly Supervised by: Dr. Mohammad-Bagher Shamsollahi and Dr. Reza Sameni. [ bib ]
[342] S. Kharabian, M. Shamsollahi, and R. Sameni, “Fetal R-wave detection from multichannel abdominal ECG recordings in low SNR,” in Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009), Minneapolis, Minnesota, USA, Sep. 2009, pp. 344--347. [ bib | DOI ]
[343] E. Kheirati Roonizi and R. Sassi, “A signal decomposition model-based bayesian framework for ecg components separation,” Signal Processing, IEEE Transactions on, vol. 64, no. 3, pp. 665--674, Feb 2016. [ bib | DOI ]
[344] E. Kheirati-Roonizi, “Morphological Modeling of Cardiac Signals,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 6 2011, supervised by: Dr. Reza Sameni. [ bib ]
[345] Z. Kheradpisheh, “Comparison of Linear and Nonlinear Electrocardiogram Processing Techniques,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 2 2014, supervised by: Dr. Reza Sameni. [ bib ]
[346] I. Kiefer-Schmidt, J. Raufer, J. Brändle, J. Münßinger, H. Abele, D. Wallwiener, H. Eswaran, and H. Preissl, “Is there a relationship between fetal brain function and the fetal behavioral state? a fetal meg-study,” Journal of perinatal medicine, vol. 41, no. 5, pp. 605--612, 2013. [ bib ]
[347] M. Kihara, S. Ono, and P. Eskelinen, Digital Clocks for Synchronization and Communications, ser. Artech House telecommunications library. Artech House, 2003. [ bib ]
[348] O. Kirkeby, P. A. Nelson, H. Hamada, and F. Orduna-Bustamante, “Fast deconvolution of multichannel systems using regularization,” IEEE Transactions on Speech and Audio Processing, vol. 6, no. 2, pp. 189--194, 1998. [ bib ]
[349] P. Kligfield, L. S. Gettes, J. J. Bailey, R. Childers, B. J. Deal, E. W. Hancock, G. van Herpen, J. A. Kors, P. Macfarlane, D. M. Mirvis et al., “Recommendations for the standardization and interpretation of the electrocardiogram: part I: the electrocardiogram and its technology,” Journal of the American College of Cardiology, vol. 49, no. 10, pp. 1109--1127, 2007. [ bib ]
[350] A. Knyazev and M. Argentati, “Principal angles between subspaces in an A-based scalar product: algorithms and perturbation estimates,” SIAM Journal on Scientific Computing, vol. 23, no. 6, pp. 2008--2040, 2002. [ bib ]
[351] A. V. Knyazev, Merico, and E. Argentati, “Principal angles between subspaces in an a-based scalar product: Algorithms and perturbation estimates,” SIAM J. Sci. Comput, vol. 23, pp. 2009--2041, 2002. [ bib ]
[352] B. Kogan, Introduction to Computational Cardiology: Mathematical Modeling and Computer Simulation. Springer, 2009. [ bib ]
[353] Z. Koldovsky and P. Tichavsky, “Methods of Fair Comparison of Performance of Linear ICA Techniques in Presence of Additive Noise,” in Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on, vol. 5, May 2006, pp. 873--876. [ bib | DOI ]
[354] Z. J. Koles, “The quantitative extraction and topographic mapping of the abnormal components in the clinical EEG.” Electroencephalogr. Clin. Neurophysiol., vol. 79, pp. 440--447, 1991. [ bib ]
[355] Y. Koren, R. Bell, and C. Volinsky, “Matrix factorization techniques for recommender systems,” Computer, vol. 42, no. 8, 2009. [ bib ]
[356] M. Kotas, “Projective filtering of time-aligned ECG beats,” Biomedical Engineering, IEEE Transactions on, vol. 51, no. 7, pp. 1129--1139, 2004. [ bib | DOI ]
[357] F. Kovacs, M. Torok, and I. Habermajer, “A rule-based phonocardiographic method for long-term fetal heart rate monitoring,” Biomedical Engineering, IEEE Transactions on, vol. 47, no. 1, pp. 124--130, 2000. [ bib | DOI ]
[358] D. Kreiseler and R. Bousseljot, “Automatisierte EKG-Auswertung mit Hilfe der EKG-Signaldatenbank CARDIODAT der PTB,” Biomedizinische Technik, vol. 40, no. 1, pp. S319--S320, 1995. [ bib ]
[359] S. Krishnan and C. Seelamantula, “On the selection of optimum savitzky-golay filters,” Signal Processing, IEEE Transactions on, vol. 61, no. 2, pp. 380--391, Jan 2013. [ bib | DOI ]
[360] D. J. Krusienski, D. J. McFarland, and J. R. Wolpaw, “Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain--computer interface,” Brain research bulletin, vol. 87, no. 1, pp. 130--134, 2012. [ bib ]
[361] A. Kwee, van der Hoorn-van den Beld CW, J. Veerman, A. Dekkers, and G. Visser, “Stan s21 fetal heart monitor for fetal surveillance during labor: an observational study in 637 patients,” J Matern Fetal Neonatal Med, vol. 15, pp. 400--407, 2004. [ bib | DOI ]
[362] J.-P. Lachaux, E. Rodriguez, J. Martinerie, and F. J. Varela, “Measuring phase synchrony in brain signals,” Human brain mapping, vol. 8, no. 4, pp. 194--208, 1999. [ bib ]
[363] P. Laguna, R. Jané, S. Olmos, N. Thakor, H. Rix, and P. Caminal, “Adaptive estimation of qrs complex by the hermite model for classification and ectopic beat detection,” Med. Biol. Eng. Comput, vol. 34, no. 1, pp. 58--68, 1996. [ bib ]
[364] P. Laguna, R. Jane, O. Meste, P. W. Poon, P. Caminal, H. Rix, and N. V. Thakor, “Adaptive filter for event-related bioelectric signals using an impulse correlated reference input,” Biomedical Engineering, IEEE Transactions on, vol. 39, pp. 1032--1044, 1992. [ bib ]
[365] P. Laguna, G. B. Moody, and R. G. Mark, “Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals,” Biomedical Engineering, IEEE Transactions on, vol. 45, pp. 698--715, Jun. 1998. [ bib ]
[366] K.-C. Lai and J. Shynk, “A successive cancellation algorithm for fetal heart-rate estimation using an intrauterine ECG signal,” Biomedical Engineering, IEEE Transactions on, vol. 49, no. 9, pp. 943--954, 2002. [ bib | DOI ]
[367] G. Lamarque, P. Ravier, and C. Dumez-Viou, “A new concept of virtual patient for real-time ecg analyzers,” Instrumentation and Measurement, IEEE Transactions on, vol. 60, no. 3, pp. 939 --946, 2011. [ bib | DOI ]
[368] P. Lander and E. J. Berbari, “Time frequency plane Wiener filtering of the high resolution ECG: development and applications,” Biomedical Engineering, IEEE Transactions on, vol. 44, pp. 256--265, 1997. [ bib ]
[369] ------, “Time frequency plane Wiener filtering of the high resolution ECG: background and time frequency representations,” Biomedical Engineering, IEEE Transactions on, vol. 44, pp. 247--255, 1997. [ bib ]
[370] R. Landqvist and A. Mohammed, “Novel Application of Projection Approximation Subspace Tracking Algorithm for Whitening in Wireless Communications,” In Proc. Radio Communications Conference, June 2005. [ bib ]
[371] S. D. Larks, “Present status of fetal electrocardiography,” Bio-Medical Electronics, IRE Transactions on, vol. 9, no. 3, pp. 176--180, July 1962. [ bib | DOI ]
[372] J. Lasserre, “A trace inequality for matrix product,” IEEE Trans. Automat. Contr., vol. 40, pp. 1500--1501, 1995. [ bib ]
[373] J. B. Lasserre, “Tight Bounds for the Trace of a Matrix Product,” IEEE Trans. Automat. Contr., vol. 42, no. 4, pp. 578--581, April 1997. [ bib | DOI ]
[374] L. de Lathauwer, B. de Moor, and J. Vandewalle, “Fetal electrocardiogram extraction by blind source subspace separation,” Biomedical Engineering, IEEE Transactions on, vol. 47, no. 5, pp. 567 --572, may 2000. [ bib | DOI ]
[375] C. D. Lawrence, Fetal Heart Development, 1995. [Online]. Available: http://user.gru.net/clawrence/vccl/chpt1/embryo.htmbib | http ]
[376] M. Le Van Quyen, J. Foucher, J.-P. Lachaux, E. Rodriguez, A. Lutz, J. Martinerie, and F. J. Varela, “Comparison of hilbert transform and wavelet methods for the analysis of neuronal synchrony,” Journal of neuroscience methods, vol. 111, no. 2, pp. 83--98, 2001. [ bib ]
[377] J. A. Lee, “Analysis of high-dimensional numerical data : from principal component analysis to non-linear dimensionality reduction and blind source separation,” Ph.D. dissertation, Louvain-la-Neuve, UCL, Belgium, 2003. [ bib ]
[378] J. A. Lee and M. Verleysen, Nonlinear Dimensionality Reduction. Springer Science, 2007. [ bib ]
[379] W. Lee, Verilog coding for logic synthesis. Wiley-Interscience, 2003. [ bib ]
[380] J. Lengle, M. Chen, and R. Wakai, “Improved neuromagnetic detection of fetal and neonatal auditory evoked response,” Clin. Neurophysiol., vol. 112, pp. 785--792 pp, 2001. [ bib ]
[381] W. Y. Leonga, W. Liub, and D. P. Mandic, “Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing,” Neurocomputing, vol. 71, pp. 2344--2355, 2008. [ bib ]
[382] A. Leon-Garcia, Probability, Statistics, and Random Processes For Electrical Engineering. Pearson Education, 2011. [ bib ]
[383] J. Leski, “Robust weighted averaging [of biomedical signals],” Biomedical Engineering, IEEE Transactions on, vol. 49, no. 8, pp. 796--804, 2002. [ bib | DOI ]
[384] J. Leski and A. Gacek, “Computationally effective algorithm for robust weighted averaging,” Biomedical Engineering, IEEE Transactions on, vol. 51, no. 7, pp. 1280--1284, 2004. [ bib | DOI ]
[385] B. Li, M. Ayazoglu, T. Mao, O. Camps, and M. Sznaier, “Activity recognition using dynamic subspace angles,” in Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, june 2011, pp. 3193 --3200. [ bib | DOI ]
[386] C. Li, C. Zheng, and C. Tai, “Detection of ECG characteristic points using wavelet transforms,” Biomedical Engineering, IEEE Transactions on, vol. 42, no. 1, pp. 21--28, January 1995. [ bib | DOI ]
[387] Q. Li, R. G. Mark, and G. D. Clifford, “Artificial arterial blood pressure artifact models and an evaluation of a robust blood pressure and heart rate estimator,” BioMedical Engineering OnLine, vol. 8, no. 1, p. 13, 2009. [Online]. Available: http://www.biomedical-engineering-online.com/content/8/1/13bib | DOI | http ]
[388] ------, “Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter,” IOP Physiol Meas, vol. 29, no. 1, pp. 15--32, Jan 2008. [ bib ]
[389] X.-L. Li and X.-D. Zhang, “Sequential Blind Extraction Adopting Second-Order Statistics,” IEEE Signal Processing Lett., vol. 14, no. 1, pp. 58--61, 2007. [ bib | DOI ]
[390] Y. Li, S. Amari, A. Cichocki, D. Ho, and S. Xie, “Underdetermined blind source separation based on sparse representation,” Signal Processing, IEEE Transactions on, vol. 54, no. 2, pp. 423--437, Feb. 2006. [ bib | DOI ]
[391] Y. Li and Z. Yi, “An algorithm for extracting fetal electrocardiogram,” Neurocomput., vol. 71, no. 7-9, pp. 1538--1542, 2008. [ bib | DOI ]
[392] Z. Li and M. Ma, “ECG Modeling with DFG,” pp. 2691 --2694, 2005. [ bib | DOI ]
[393] D. B. Lindsley, “Heart and Brain Potentials of Human Fetuses in Utero,” The American Journal of Psychology, vol. 55, no. 3, pp. 412--416, July 1942. [ bib ]
[394] C. Liu, D. Springer, Q. Li, B. Moody, R. A. Juan, F. J. Chorro, F. Castells, J. M. Roig, I. Silva, A. E. W. Johnson, Z. Syed, S. E. Schmidt, C. D. Papadaniil, L. Hadjileontiadis, H. Naseri, A. Moukadem, A. Dieterlen, C. Brandt, H. Tang, M. Samieinasab, M. R. Samieinasab, R. Sameni, R. G. Mark, and G. D. Clifford, “An open access database for the evaluation of heart sound algorithms,” Physiological Measurement, vol. 37, no. 12, pp. 2181--2213, 2016. [Online]. Available: https://doi.org/10.1088/0967-3334/37/12/2181bib | http ]
[395] D. Liu, X. Liu, F. Qian, and H. Liu, “Blind Source Separation Based on Dual Adaptive Control,” in Proceedings of the 4th Int. Symp. on Independent Component Analysis and Blind Source Separation (ICA2003), Nara, Japan, April 1-4 2003, pp. 445--450. [Online]. Available: www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/data/0069.pdfbib | .pdf ]
[396] L. Ljung and T. Glad, Modeling of Dynamic Systems, ser. Prentice Hall Information & System Sciences Series. Prentice Hall, 1994. [ bib ]
[397] C. Luca, P. Riccardo, C. Caterina, F. S., and L. Tarassenko, “P300-Based BCI Mouse with Genetically-Optimized Analogue Control,” IEE Electronic Letters, vol. 16, no. 1, pp. 51--61, Feb. 2008. [ bib ]
[398] S. Lunshof, K. Boer, H. Wolf, G. van Hoffen, N. Bayram, and M. Mirmiran, “Fetal and maternal diurnal rhythms during the third trimester of normal pregnancy: Outcomes of computerized analysis of continuous twenty-four-hour fetal heart rate recordings,” American Journal of Obstetrics and Gynecology, vol. 178, pp. 247--254, 1998. [ bib ]
[399] M. A. Maasoumnia, “Estimation Theory and Optimal Filtering, [Lecture Notes],” 2003, Sharif University of Technology, Tehran, Iran. [ bib ]
[400] G. A. Macones, G. D. Hankins, C. Y. Spong, J. Hauth, and T. Moore, “The 2008 national institute of child health and human development workshop report on electronic fetal monitoring: update on definitions, interpretation, and research guidelines,” Journal of Obstetric, Gynecologic, & Neonatal Nursing, vol. 37, no. 5, pp. 510--515, 2008. [ bib ]
[401] K. Maeda, T. Iwabe, S. Yoshida, T. Ito, Y. Minagawa, S. Morokuma, R. K. Pooh, and T. Fuchiwaki, “Detailed multigrade evaluation of fetal disorders with the quantified actocardiogram,” Journal of perinatal medicine, vol. 37, no. 4, pp. 392--396, 2009. [ bib ]
[402] E. F. Magann, J. D. Bass, S. P. Chauhan, R. A. Young, N. S. Whitworth, and J. C. Morrison, “Amniotic fluid volume in normal singleton pregnancies.” Obstet Gynecol, vol. 90, no. 4 Pt 1, pp. 524--528, Oct 1997. [ bib ]
[403] C. Maggioni, G. Cornelissen, K. Otsuka, F. Halberg, D. Consonni, and U. Nicolini, “Circadian rhythm of maternal blood pressure and fetal growth,” Biomed Pharmacother, vol. 59, no. 1, pp. S86--S91, October 2005. [ bib ]
[404] S. Makeig, A. Bell, T.-P. Jung, and T. Sejnowski, “Independent component analysis of electroencephalographic data,” Advances in Neural Information Processing Systems, vol. 8, pp. 145--151, 1996. [ bib ]
[405] S. Mallat, A Wavelet Tour of Signal Processing: The Sparse Way. Elsevier Science, 2008. [ bib ]
[406] J. A. Malmivuo and R. Plonsey, Bioelectromagnetism, Principles and Applications of Bioelectric and Biomagnetic Fields. Oxford University Press, 1995. [Online]. Available: http://butler.cc.tut.fi/~malmivuo/bem/bembookbib | http ]
[407] F. A. Manning, “Fetal biophysical profile,” Obstetrics and gynecology clinics of North America, vol. 26, no. 4, pp. 557--577, 1999. [ bib ]
[408] M. Mano and M. Ciletti, Digital Design. Pearson Prentice Hall, 2007. [ bib ]
[409] D. Mantini, K. E. H. II, G. Alleva, and S. Comani, “Performance comparison of independent component analysis algorithms for fetal cardiac signal reconstruction: a study on synthetic fMCG data,” Phys. Med. Biol., vol. 51, pp. 1033--1046, 2006. [Online]. Available: doi:10.1088/0031-9155/51/4/018bib | www: ]
[410] D. Mantini, M. Perrucci, S. Cugini, A. Ferretti, G. Romani, and C. D. Gratta, “Complete artifact removal for EEG recorded during continuous fMRI using independent component analysis,” Neuroimage, vol. 34, no. 2, pp. 598--607, Jan 2007. [ bib ]
[411] S. Martens, M. Mischi, S. Oei, and J. Bergmans, “An Improved Adaptive Power Line Interference Canceller for Electrocardiography,” Biomedical Engineering, IEEE Transactions on, vol. 53, no. 11, pp. 2220--2231, November 2006. [ bib | DOI ]
[412] S. M. M. Martens, C. Rabotti, M. Mischi, and R. J. Sluijter, “A robust fetal ECG detection method for abdominal recordings,” Physiol Meas, vol. 28, no. 4, pp. 373--388, Apr 2007. [Online]. Available: http://dx.doi.org/10.1088/0967-3334/28/4/004bib | DOI | http ]
[413] F. Marvasti, Nonuniform sampling: theory and practice. Springer Science & Business Media, 2012. [ bib ]
[414] ------, Nonuniform Sampling: Theory and Practice, ser. Information Technology: Transmission, Processing, and Storage. Kluwer Academic/Plenum Publishers, 2001. [ bib ]
[415] ------, A unified approach to zero-crossings and nonuniform sampling of single and multidimensional signals and systems. Nonuniform, 1987. [ bib ]
[416] J. McCubbin, P. Murphy, H. Eswaran, H. Preissl, T. Yee, S. Robinson, and J. Vrba, “Validation of flash evoked response from fetal MEG,” Phys Med Biol, vol. 52, pp. 5803--5813, 2007. [ bib ]
[417] C. McDonnell, G. Clifford, R. Sameni, J. Ward, J. Robertson, and A. Wolfberg, “Comparison of abdominal sensors to a fetal scalp electrode for fetal ST analysis during labor,” in American Journal of Obstetrics and Gynecology, vol. 204. Society for Maternal-Fetal Medicine, January 2011, pp. S256--S256. [Online]. Available: http://dx.doi.org/10.1016/j.ajog.2010.10.669bib | http ]
[418] R. N. McDonough and A. D. Whalen, Detection of signals in noise. Academic Press, 1995. [ bib ]
[419] P. E. McSharry and G. D. Clifford, ECGSYN - A realistic ECG waveform generator. [Online]. Available: http://www.physionet.org/physiotools/ecgsyn/bib | http ]
[420] ------, “A comparison of nonlinear noise reduction and independent component analysis using a realistic dynamical model of the electrocardiogram,” Proc of SPIE International Symposium on Fluctuations and Noise, vol. 5467, no. 09, pp. 78--88, 2004. [ bib ]
[421] P. E. McSharry, G. D. Clifford, L. Tarassenko, and L. A. Smith, “A Dynamic Model for Generating Synthetic Electrocardiogram Signals,” Biomedical Engineering, IEEE Transactions on, vol. 50, pp. 289--294, mar 2003. [ bib ]
[422] W. J. H. Meijer and P. Bergveld, “The Simulation of the Abdominal MECG,” Biomedical Engineering, IEEE Transactions on, vol. BME-28, pp. 354--357, Apr. 1981. [ bib ]
[423] F. Meinecke, A. Ziehe, M. Kawanabe, and K.-R. Müller, “A resampling approach to estimate the stability of one-dimensional or multidimensional independent components.” Biomedical Engineering, IEEE Transactions on, vol. 49, no. 12 Pt 2, pp. 1514--25, 2002. [ bib ]
[424] Microphase Corporation, Detector Log Video Amplifiers, 2012. [Online]. Available: www.microphase.com/military/dlva.shtmlbib | www: ]
[425] Z. Min, L. Weijun, Z. Guoxu, and Z. Zhiheng, “Blind sources separation algorithm based on adaptive givens rotations,” in Natural Computation, 2009. ICNC '09. Fifth International Conference on, vol. 1, aug. 2009, pp. 95 --99. [ bib | DOI ]
[426] A. M. Minino, M. P. Heron, S. L. Murphy, and K. D. Kochanek, “Deaths: Final data for 2004,” National Vital Statistics Reports, vol. 55, no. 19, pp. 1--120, August 2007. [ bib ]
[427] M. Misiti, Y. Misiti, G. Oppenheim, and J.-M. Poggi, Matlab Wavelet Toolbox User's guide version 3, 2005. [Online]. Available: http://www.mathworks.com/access/helpdesk/help/toolbox/wavelet/bib | http ]
[428] S. K. Mitra, Digital Signal Processing: A Computer Based Approach, 3rd ed. McGraw-Hill, 2005. [ bib ]
[429] R. Mohammadzadeh, “Implementation of Blind Source Separation and Frequency Scrambling Algorithms on FPGA Soft-Cores Using Mixed-Design,” Master's thesis, Computer Architecture, School of Electrical & Computer Engineering, Shiraz University, 9 2016, supervised by: Dr. Reza Sameni. [ bib ]
[430] L. Molgedey and H. G. Schuster, “Separation of a mixture of independent signals using time delayed correlations,” Physical review letters, vol. 72, no. 23, p. 3634, 1994. [ bib ]
[431] G. Moody and R. Mark, “QRS morphology representation and noise estimation using the Karhunen-loève transform,” Computers in Cardiology, vol. 16, pp. 269--272, 1989. [ bib ]
[432] G. Moody, W. Muldrow, and R. Mark, “The MIT-BIH Noise Stress Test Database,” http://www.physionet.org/physiobank/database/nstdb/. [ bib ]
[433] ------, “The MIT-BIH Noise Stress Test Database,” http://www.physionet.org/physiobank/database/nstdb/. [ bib ]
[434] ------, “A noise stress test for arrhythmia detectors,” in Computers in Cardiology, 1984, pp. 381--384. [ bib ]
[435] T. K. Moon, “The expectation-maximization algorithm,” IEEE Signal Processing Mag., vol. 13, pp. 47--60, Nov. 1996. [ bib ]
[436] L. Moraru, R. Sameni, U. Schneider, J. Haueisen, E. Schleußner, and D. Hoyer, “Validation of fetal auditory evoked cortical responses to enhance the assessment of early brain development using fetal MEG measurements,” Physiological Measurements, vol. 32, no. 11, pp. 1847--1868, October 2011. [Online]. Available: http://dx.doi.org/10.1088/0967-3334/32/11/002bib | http ]
[437] L. Moraru, R. Sameni, U. Schneider, C. Jutten, J. Haueisen, and D. Hoyer, “Identification of fetal auditory evoked cortical responses using a denoising method based on periodic component analysis,” in Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE 2008), Antwerp, Belgium, 2008, pp. 1390--1393. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-540-89208-3_329bib | http ]
[438] L. Moraru, U. Schneider, R. Sameni, and D. Hoyer, “Identification of fetal auditory evoked responses from biomagnetic measurements,” in Proceedings of the 44th Annual Conference of the German Society of biomedical engineering, Rostock, Germany, October 2010. [ bib ]
[439] S. Muceli, D. Pani, and L. Raffo, “Real-time foetal ecg extraction with jade on floating point dsp,” Electronics Letters, vol. 43, no. 18, pp. 963 --965, 31 2007. [ bib | DOI ]
[440] J. Muller, Elementary functions, ser. Computer Science. Birkhäuser Boston, 2006. [ bib ]
[441] M. Muro, H. Shono, M. Shono, A. Uchiyama, and T. Iwasaka, “Changes in diurnal variations in the fetal heart rate baseline with advancing gestational age,” Sleep and Biological Rhythms, vol. 2:1, pp. 83--85, 2004. [ bib ]
[442] V. E. Murphy, R. Smith, W. B. Giles, and V. L. Clifton, “Endocrine Regulation of Human Fetal Growth: The Role of the Mother, Placenta, and Fetus,” Endocr Rev, vol. 27, no. 2, pp. 141--169, 2006. [Online]. Available: http://edrv.endojournals.org/cgi/content/abstract/27/2/141bib | DOI | arXiv | http ]
[443] W. Mydlarczyk, “A Volterra inequality with the power type nonlinear kernel,” Journal of Inequalities and Applications, vol. 6, no. 6, pp. 625--631, 2001. [ bib | DOI ]
[444] M. Nørgaard, The Kalman Filter Toolbox. [Online]. Available: http://www.iau.dtu.dk/research/control/kalmtool.htmlbib | .html ]
[445] R. Nadakuditi and A. Edelman, “Sample eigenvalue based detection of high-dimensional signals in white noise using relatively few samples,” Signal Processing, IEEE Transactions on, vol. 56, no. 7, pp. 2625 --2638, july 2008. [ bib | DOI ]
[446] M. Naeem, C. Brunner, R. Leeb, B. Graimann, and G. Pfurtscheller, “Seperability of four-class motor imagery data using independent components analysis.” J. Neural Eng., vol. 3, no. 3, pp. 208--216, Sep 2006. [Online]. Available: http://dx.doi.org/10.1088/1741-2560/3/3/003bib | DOI | http ]
[447] G. Naik, D. Kumar, S. Arjunan, M. Palaniswami, and R. Begg, “Limitations and applications of ICA for surface electromyogram,” Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE, vol. 46, no. 5, pp. 5739--5742, 30 2006-Sept. 3 2006. [ bib | DOI ]
[448] H. Narimani, “Application of Kalman and H-infinity Filters in Electrocardiogram Denoising,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 9 2014, supervised by: Dr. Reza Sameni. [ bib ]
[449] H. Narimani and R. Sameni, “Electrocardiogram denoising using h-infinity filters,” in Electrical Engineering (ICEE), 2015 23rd Iranian Conference on, May 2015, in Persian. [ bib ]
[450] K. B. Nelson, J. M. Dambrosia, T. Y. Ting, and J. K. Grether, “Uncertain Value of Electronic Fetal Monitoring in Predicting Cerebral Palsy,” N Engl J Med, vol. 334, no. 10, pp. 613--619, 1996. [Online]. Available: http://content.nejm.org/cgi/content/abstract/334/10/613bib | DOI | arXiv | http ]
[451] T. I. Netoff and S. J. Schiff, “Decreased neuronal synchronization during experimental seizures,” The Journal of neuroscience, vol. 22, no. 16, pp. 7297--7307, 2002. [ bib ]
[452] D. P. Nguyen, M. A. Wilson, E. N. Brown, and R. Barbieri, “Measuring instantaneous frequency of local field potential oscillations using the kalman smoother,” Journal of neuroscience methods, vol. 184, no. 2, pp. 365--374, 2009. [ bib ]
[453] E. Sulas, M. Urru, R. Tumbarello, L. Raffo, R. Sameni, and D. Pani, “A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research,” Scientific Data, vol. 8, no. 1, jan 2021. [Online]. Available: https://doi.org/10.1038/s41597-021-00811-3bib | http ]
[454] E. Nikahd, P. Behnam, and R. Sameni, “High-speed hardware implementation of fixed and runtime variable window length 1-d median filters,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 63, no. 5, pp. 478--482, 2016. [Online]. Available: https://doi.org/10.1109/TCSII.2015.2504945bib | http ]
[455] S. Niknam, “Multichannel Cardiac Signal Processing & Sensor Selection Techniques,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 1 2012, supervised by: Dr. Reza Sameni. [ bib ]
[456] M. Niknazar, B. Rivet, and C. Jutten, “Fetal ECG extraction by extended state Kalman filtering based on single-channel recordings,” Biomedical Engineering, IEEE Transactions on, vol. 60, no. 5, pp. 1345--1352, 2013. [ bib ]
[457] N. Nikolaev and A. Gotchev, “ECG signal denoising using wavelet domain Wiener filtering,” in Proc. European Signal Processing Conf. EUSIPCO-2000, Tampere, Finland, September 2000, pp. 51--54. [ bib ]
[458] R. Nowak, “EnglishNonlinear system identification,” EnglishCircuits, Systems and Signal Processing, vol. 21, no. 1, pp. 109--122, 2002. [ bib | DOI ]
[459] P. L. Nunez and R. Srinivasan, Electric fields of the brain: the neurophysics of EEG. Oxford university press, 2006. [ bib ]
[460] P. D. O'Grady, B. A. Pearlmutter, and S. T. Rickard, “Survey of sparse and non-sparse methods in source separation,” International Journal of Imaging Systems and Technology, vol. 15, no. 1, pp. 18--33, 2005. [ bib ]
[461] D. P. O'Leary, Stephen, and S. Bullock, “QR Factorizations using a Restricted Set of Rotations.” [ bib ]
[462] S. Olmos, L. Sörnmo, and P. Laguna, “Block adaptive filters with deterministic reference inputs for event related signals; BLMS and BRLS,” IEEE Trans. Signal Processing, vol. 50, pp. 1102--1112, 2002. [ bib ]
[463] T. Oostendorp, Modeling the Fetal ECG. Ph.D. dissertation, K. U. Nijmegen, The Netherlands, 1989. [ bib ]
[464] T. Oostendorp, A. van Oosterom, and H. Jongsma, “Electrical properties of tissues involved in the conduction of fetal ECG,” Biomed Eng Comput, vol. 27, pp. 322--324, 1989. [ bib ]
[465] T. F. Oostendorp, A. van Oosterom, and H. W. Jongsma, “The fetal ECG throughout the second half of gestation,” Clin Phys physiol Meas., vol. 10, no. 2, pp. 147--160, 1989. [ bib ]
[466] ------, “The effect of changes in the conductive medium on the fetal ECG throughout gestation,” Clin. Phys. physiol Meas., vol. 10 Sup. B, pp. 11--20, 1989. [ bib ]
[467] A. van Oosterom, “Beyond the dipole; modeling the genesis of the electrocardiogram,” 100 years Einthoven, pp. 7--15, 2002, the Einthoven Foundation, Leiden. [ bib ]
[468] ------, “Spatial filtering of the fetal electrocardiogram,” J. Perinat Med., vol. 14, no. 6, pp. 411--419, 1986. [ bib ]
[469] A. Oppenheim, R. Schafer, and J. Buck, Discrete-time signal processing, ser. Prentice-Hall signal processing series. Prentice Hall, 1999. [ bib ]
[470] A. V. Oppenheim, A. S. Willsky, and H. Nawab, Signals and Systems. Prentice Hall International, Inc., 1997. [ bib ]
[471] S. Oraintara, W. Karl, D. Castanon, and T. Nguyen, “A method for choosing the regularization parameter in generalized tikhonov regularized linear inverse problems,” in Image Processing, 2000. Proceedings. 2000 International Conference on, vol. 1, 2000, pp. 93--96 vol.1. [ bib | DOI ]
[472] E. K. Osei and K. Faulkner, “Fetal position and size data for dose estimation.” Br J Radiol, vol. 72, no. 856, pp. 363--370, Apr 1999. [ bib ]
[473] J. Ottesen, M. Olufsen, and J. Larsen, Applied Mathematical Models in Human Physiology, ser. Monographs on Mathematical Modeling and Computation. Society for Industrial and Applied Mathematics, 2004. [ bib ]
[474] N. J. Outram, E. C. Ifeachor, P. W. J. V. Eetvelt, and J. S. H. Curnow, “Techniques for optimal enhancement and feature extraction of fetal electrocardiogram,” in IEE Proc.-Sci. Meas. Technol., vol. 142, no. 6, November 1995, pp. 482--489. [ bib ]
[475] E. Pajkrt, B. Weisz, H. V. Firth, and L. S. Chitty, “Fetal cardiac anomalies and genetic syndromes.” Prenat Diagn, vol. 24, no. 13, pp. 1104--1115, Dec 2004. [Online]. Available: http://dx.doi.org/10.1002/pd.1067bib | DOI | http ]
[476] S. Palnitkar, Verilog Hdl: A Guide to Digital Design and Synthesis. SunSoft Press, 2003. [ bib ]
[477] J. Pan and W. J. Tompkins, “A Real-Time QRS Detection Algorithm,” Biomedical Engineering, IEEE Transactions on, vol. BME-32, no. 3, pp. 230--236, 1985. [ bib | DOI ]
[478] D. Pani, E. Sulas, M. Urru, R. Sameni, L. Raffo, and R. Tumbarello, “NInFEA: Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research,” 2020. [Online]. Available: https://physionet.org/content/ninfea/1.0.0/bib | DOI | http ]
[479] D. Pani, S. Argiolas, and L. Raffo, “A dsp algorithm and system for real-time fetal ecg extraction,” in Computers in Cardiology, 2008, sept. 2008, pp. 1065 --1068. [ bib | DOI ]
[480] A. Papoulis, Probability, random variables, and stochastic processes, 3rd ed. McGraw-Hill, 1991. [ bib ]
[481] ------, Signal analysis, ser. McGraw-Hill electrical and electronic engineering series. McGraw-Hill, 1977. [ bib ]
[482] A. Papoulis and S. U. Pillai, Probability, random variables, and stochastic processes, 4th ed. McGraw-Hill, 2002. [ bib ]
[483] B. Parhami, Computer arithmetic: algorithms and hardware designs, ser. The Oxford Series in Electrical and Computer Engineering Series. Oxford University Press, 2009. [ bib ]
[484] Y. Park, K. Lee, D. Youn, N. Kim, W. Kim, and S. Park, “On detecting the presence of fetal R-wave using the moving averaged magnitude difference algorithm,” Biomedical Engineering, IEEE Transactions on, vol. 39, no. 8, pp. 868--871, August 1992. [ bib | DOI ]
[485] L. Parra and P. Sajda, “Blind Source Separation via Generalized Eigenvalue Decomposition,” Journal of Machine Learning Research, vol. 4, pp. 1261--1269, 2003. [ bib ]
[486] S. Peleg and B. Porat, “The cramer-rao lower bound for signals with constant amplitude and polynomial phase,” IEEE Transactions on Signal Processing, vol. 39, no. 3, pp. 749--752, 1991. [ bib ]
[487] F. Pelliccia, M. Ciavolella, A. Gaspardone, F. Tomai, F. Romeo, A. Nigri, P. A. Gioffré, and R. A, “Idiopathic dilated cardiomyopathy: T/R ratio as an ECG index of ventricular volume and function,” Cardiologia, vol. 32, no. 3, pp. 281--286, March 1987. [ bib ]
[488] M. Peters, J. Crowe, J.-F. Piéri, H. Quartero, B. Hayes-Gill, D. James, J. Stinstra, and S. Shakespeare, “Monitoring the fetal heart non-invasively: a review of methods,” J. Perinat. Med., vol. 29, pp. 408--416, 2001. [ bib ]
[489] D. T. Pham and P. Garat, “Blind separation of mixture of independent sources through a quasi-maximum likelihood approach,” IEEE Trans. Signal Processing, vol. 45, no. 7, pp. 1712--1725, 1997. [ bib | DOI ]
[490] D.-T. Pham and J.-F. Cardoso, “Blind separation of instantaneous mixtures of nonstationary sources,” Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], vol. 49, no. 9, pp. 1837--1848, Sep 2001. [ bib | DOI ]
[491] PhysioNet, MIT-BIH Arrhythmia Database, National Institutes of Health. [Online]. Available: http://www.physionet.org/physiobank/database/mitdb/bib | http ]
[492] ------, Non-invasive Fetal ECG Database, National Institutes of Health. [Online]. Available: http://physionet.org/physiobank/database/nifecgdb/bib | http ]
[493] ------, Abdominal and Direct Fetal Electrocardiogram Database, National Institutes of Health. [Online]. Available: https://physionet.org/physiobank/database/adfecgdb/bib | http ]
[494] ------, MIT-BIH Polysomnographic Database, National Institutes of Health, 1999. [Online]. Available: http://www.physionet.org/physiobank/database/slpdb/bib | http ]
[495] B. Picinbono, “On instantaneous amplitude and phase of signals,” Signal Processing, IEEE Transactions on, vol. 45, no. 3, pp. 552--560, 1997. [ bib ]
[496] T. W. Picton, A. Dimitrijevic, M. S. John, and P. Van Roon, “The use of phase in the detection of auditory steady-state responses,” Clinical Neurophysiology, vol. 112, no. 9, pp. 1698--1711, 2001. [ bib ]
[497] A. Pikovsky, M. Rosenblum, and J. Kurths, Synchronization: a universal concept in nonlinear sciences. Cambridge university press, 2003, vol. 12. [ bib ]
[498] F. Pinciroli, R. Rossi, and L. Vergani, “Detection of electrical axis variation for the extraction of respiratory information,” Computers in Cardiology, vol. 12, pp. 499--502, 1985. [ bib ]
[499] J. Polich and A. Kok, “Cognitive and biological determinants of P300: An integrative review,” Biol. Psychol, vol. 41, no. 2, pp. 103--146, 1995. [ bib ]
[500] M. Popescu, P. Cristea, and A. Bezerianos, “High Resolution ECG Filtering Using Adaptive Bayesian Wavelet Shrinkage,” in Proc. Computers in Cardiology 1998 Conference, Cleveland, Ohio, USA, September 13-16 1998, pp. 401--404. [ bib ]
[501] C. Porcaro, F. Zappasodi, G. Barbati, C. Salustri, V. Pizzella, P. M. Rossini, and F. Tecchio, “Fetal auditory responses to external sounds and mother's heart beat : Detection improved by independent component analysis,” Brain Research, vol. 1101, pp. 51 -- 58, 2006. [ bib ]
[502] A. C. O. G. Practice, Bulletin, “Intrapartum fetal heart rate monitoring: Nomenclature, interpretation, and general management principles,” American College of Obstetricians and Gynecologists, Tech. Rep. 109, 2009. [ bib ]
[503] W. H. Press, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes in C: The Art of Scientific Computing, 2nd ed. Cambridge University Press, 1992. [ bib ]
[504] C. B. R. W. Thatcher, D. North, “Development of cortical connectivity as measured by eeg coherence and phase,” Human Brain Mapping, vol. 29, pp. 1400--1415, 2008. [ bib ]
[505] C. B. R.W. Thatcher, D. North, “Intelligence and eeg phase reset: A two compartmental model of phase shift and lock,” Neuroimage, vol. 42, pp. 1639--1653, 2008. [ bib ]
[506] H. Raemer and R. Blyth, “The probability density of the phase difference of a narrow-band gaussian noise with sinusoidal signal (corresp.),” IRE Transactions on Information Theory, vol. 7, no. 4, pp. 265--267, 1961. [ bib ]
[507] M. Rahbaralam, “Evaluation of Instantaneous Frequency Estimation Techniques with Application in Electroencephalogram Analysis,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, 5 2017, supervised by: Dr. Reza Sameni. [ bib ]
[508] M. Rahbar Alam and R. Sameni, “Automatic wake-sleep stages classification using electroencephalogram instantaneous frequency and envelope tracking,” bioRxiv, 2020. [Online]. Available: http://dx.doi.org/10.1101/2020.05.13.092841bib | http ]
[509] A. Kazemnejad, P. Gordany, and R. Sameni, “An open-access simultaneous electrocardiogram and phonocardiogram database,” bioRxiv, 2021. [Online]. Available: https://doi.org/10.1101/2021.05.17.444563bib | http ]
[510] J. C. Rajapakse, F. Kruggel, J. M. Maisog, and D. Yves von Cramon, “Modeling hemodynamic response for analysis of functional mri time-series,” Human Brain Mapping, vol. 6, no. 4, pp. 283--300, 1998. [ bib ]
[511] A. M. Rao and D. L. Jones, “A denoising approach to multichannel signal estimation,” in Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference, vol. 05, 1999, pp. 2869--2872. [ bib ]
[512] P. Ravier, F. Leclerc, C. Dumez-Viou, and G. Lamarque, “Redefining performance evaluation tools for real-time qrs complex classification systems,” Biomedical Engineering, IEEE Transactions on, vol. 54, no. 9, pp. 1706 --1710, 2007. [ bib | DOI ]
[513] F. Razavipour, “Fetal Magnetoencephalogram Extraction and Phase Analysis of the Electroencephalogram,” Master's thesis, Artificial Intelligence, School of Electrical & Computer Engineering, Shiraz University, 3 2012, supervised by: Dr. Reza Sameni. [ bib ]
[514] F. Razavipour, M. Haghpanahi, and R. Sameni, “Fetal QRS Complex Detection using Semi-Blind Source Separation Framework,” in Proceedings of the 40th Annual International Conference on Computers in Cardiology, Zaragoza, Spain, September 22-25 2013, pp. 181--184. [ bib ]
[515] F. Razavipour and R. Sameni, “A Study of Event Related Potential Frequency Domain Coherency using Multichannel Electroencephalogram Subspace Analysis,” Journal of Neuroscience Methods, vol. 249, pp. 22--28, July 2015. [Online]. Available: http://dx.doi.org/10.1016/j.jneumeth.2015.03.037bib | http ]
[516] ------, “A General Framework for Extracting Fetal Magnetoencephalogram and Audio-Evoked Responses,” Journal of Neuroscience Methods, vol. 212, no. 2, pp. 283--296, January 2013. [Online]. Available: http://dx.doi.org/10.1016/j.jneumeth.2012.10.021bib | http ]
[517] K. Reif, S. Gunther, E. Yaz, and R. Unbehauen, “Stochastic stability of the discrete-time extended Kalman filter,” IEEE Trans. Automat. Contr., vol. 44, no. 4, pp. 714--728, 1999. [ bib ]
[518] S. O. Rice, “Statistical properties of a sine wave plus random noise,” Bell System Technical Journal, vol. 27, no. 1, pp. 109--157, 1948. [ bib ]
[519] M. A. Richards, Fundamentals of radar signal processing. Tata McGraw-Hill Education, 2005. [ bib ]
[520] M. Richter, T. Schreiber, and D. T. Kaplan, “Fetal ECG Extraction with Nonlinear State-Space Projections,” Biomedical Engineering, IEEE Transactions on, vol. 45, no. 1, pp. 133--137, January 1998. [ bib ]
[521] V. C. Rideout, Mathematical and Computer Modeling of Physiological Systems. Prentice Hall, 1991. [ bib ]
[522] J. J. Riera, P. A. Valdes, K. Tanabe, and R. Kawashima, “A theoretical formulation of the electrophysiological inverse problem on the sphere,” Physics in Medicine and Biology, vol. 51, no. 7, pp. 1737--1758, 2006. [Online]. Available: http://stacks.iop.org/0031-9155/51/1737bib | http ]
[523] D. S. Rizzuto, J. R. Madsen, E. B. Bromfield, A. Schultz-Bonhage, R. A.-S. D. Seelig, and M. J. Kahana, “Reset of human neocortical oscillations during a working memory task,” Proc. Natl. Acad. Sci, vol. 100, pp. 7931--7936, 2003. [ bib ]
[524] RJ.Ilmoniemi and MA.Uusitalo, “Signal-space projection method for separating meg or eeg into components,” IEEE Trans Biomed Eng, vol. 35, pp. 135--140, 1997. [ bib ]
[525] S. E. Robinson, J. Vrba, and J. McCubbin, Biomag 2002. Berlin: VDE Verlag Gmbh, 2002, ch. Separating fetal MEG signals from the noise, pp. 665--667 pp. [ bib ]
[526] ------, “Separating fetal MEG signals from the noise,” Biomag, pp. 665--667, 2002. [ bib ]
[527] J. B. Roche and E. H. Hon, “The fetal electrocardiogram. V. Comparison of lead systems,” Am J Obstet Gynecol, vol. 92, pp. 1149--1159, Aug 1965. [ bib ]
[528] S. Romero, M. A. M. nanas, and M. J. Barbanoj, “A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: A simulation case,” Comput. Biol. Med., vol. 38, no. 3, pp. 348--60, Jan 2008. [Online]. Available: http://dx.doi.org/10.1016/j.compbiomed.2007.12.001bib | DOI | http ]
[529] M. Rooijakkers, H. de Lau, C. Rabotti, S. Oei, J. Bergmans, and M. Mischi, “Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings,” in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. IEEE, 2014, pp. 1452--1455. [ bib ]
[530] M. Rooijakkers, C. Rabotti, H. de Lau, S. Oei, J. Bergmans, and M. Mischi, “Feasibility study of a new method for low-complexity fetal movement detection from abdominal ECG recordings,” IEEE Journal of Biomedical Health Informatics, vol. 99, no. nn, p. pp, 2015, [In press]. [ bib | DOI ]
[531] E. K. Roonizi and R. Sameni, “Morphological modeling of cardiac signals based on signal decomposition,” Computers in Biology and Medicine, vol. 43, no. 10, pp. 1453--1461, October 2013. [Online]. Available: http://dx.doi.org/10.1016/j.compbiomed.2013.06.017bib | http ]
[532] K. Rosen, A. Dagbjartsson, B. Henriksson, H. Lagercrantz, and I. Kjellmer, “The relationship between circulating catecholamines and st waveform in the fetal lamb electrocardiogram during hypoxia 3,” Am J Obstet Gynecol, vol. 149, pp. 190--195, 1984. [ bib ]
[533] M. G. Rosenblum, A. S. Pikovsky, and J. Kurths, “Phase synchronization of chaotic oscillators,” Physical review letters, vol. 76, no. 11, p. 1804, 1996. [ bib ]
[534] A. Routray, A. Pradhan, and K. Rao, “A novel kalman filter for frequency estimation of distorted signals in power systems,” Instrumentation and Measurement, IEEE Transactions on, vol. 51, no. 3, pp. 469 --479, jun 2002. [ bib | DOI ]
[535] L. Sörnmo, “Vectorcardiographic loop alignment and morphologic beat-to-beat variability,” Biomedical Engineering, IEEE Transactions on, vol. 45, no. 12, pp. 1401--1413, 1998. [ bib ]
[536] J. Särelä, Exploratory source separation in biomedical systems, October 2004, PhD Thesis, Helsinki University of Technology. [Online]. Available: http://lib.tkk.fi/Diss/2004/isbn9512273438/bib | http ]
[537] J. Särelä and R. Vigário, “Overlearning in marginal distribution-based ICA: analysis and solutions,” Journal of machine learning research, vol. 4, pp. 1447--1469, 2003. [Online]. Available: http://jmlr.csail.mit.edu/papers/volume4/sarela03a/sarela03a.pdfbib | .pdf ]
[538] ------, “A bayesian approach to overlearning in ICA: a comparison study,” 2003, Technical Report, Helsinki University of Technology. [Online]. Available: www.cis.hut.fi/jaakkos/papers/techrepA70.pdfbib | .pdf ]
[539] J. Sadasivan, S. Mukherjee, and C. Seelamantula, “An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising,” in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, May 2014, pp. 4249--4253. [ bib | DOI ]
[540] Z. Sadeghian, “Analysis and Prediction of Economic Indexes using Signal Processing Techniques,” Master's thesis, Artificial Intelligence, School of Electrical & Computer Engineering, Shiraz University, 10 2015, supervised by: Dr. Reza Sameni. [ bib ]
[541] E. Sadovsky, R. Rabinowitz, A. Freeman, and S. Yarkoni, “The relationship between fetal heart rate accelerations, fetal movements, and uterine contractions,” American journal of obstetrics and gynecology, vol. 149, no. 2, pp. 187--189, 1984. [ bib ]
[542] V. Sakkalis, “Review of advanced techniques for the estimation of brain connectivity measured with eeg/meg,” Computers in biology and medicine, vol. 41, no. 12, pp. 1110--1117, 2011. [ bib ]
[543] R. Sameni, The Open-Source Electrophysiological Toolbox (OSET), version 3.14, 2018. [Online]. Available: http://www.oset.irbib | http ]
[544] ------, “Online filtering using piecewise smoothness priors: Application to normal and abnormal electrocardiogram denoising,” Signal Processing, vol. 133, no. 4, pp. 52 -- 63, April 2017. [Online]. Available: https://doi.org/10.1016/j.sigpro.2016.10.019bib | http ]
[545] ------, “Spatio-Temporal Source Separation using Temporal Priors with Parameterized Uncertainties,” Oct. 2016, working paper or preprint. [Online]. Available: https://hal.archives-ouvertes.fr/hal-01382035bib | http ]
[546] ------, “Towards Distributed Component Analysis,” Oct. 2015, working paper or preprint. [Online]. Available: https://hal.archives-ouvertes.fr/hal-01382076bib | http ]
[547] ------, My Open-Research Pool, 2015. [Online]. Available: http://home.cse.shirazu.ac.ir/~sameni/research.htmlbib | .html ]
[548] ------, “A Linear Kalman Notch Filter for Power-Line Interference Cancellation,” in Proceedings of the 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), Shiraz, Iran, 2-3 May 2012 2012, pp. 604--610. [Online]. Available: https://doi.org/10.1109/AISP.2012.6313817bib | http ]
[549] ------, Noninvasive Fetal Electrocardiography: Models, Technologies, and Algorithms. Cham: Springer International Publishing, 2021, pp. 99--146. [Online]. Available: https://doi.org/10.1007/978-3-030-54403-4\_5bib | http ]
[550] ------, The Open-Source Electrophysiological Toolbox (OSET), version 2.1, 2010. [Online]. Available: http://www.oset.irbib | http ]
[551] ------, Open-Source ECG Toolbox (OSET), 2008, 2nd version. [Online]. Available: http://ecg.sharif.ir/bib | http ]
[552] ------, “Extraction of Fetal Cardiac Signals from an Array of Maternal Abdominal Recordings,” Ph.D. dissertation, Sharif University of Technology -- Institut National Polytechnique de Grenoble, July 2008. [Online]. Available: http://www.sameni.info/Publications/Thesis/PhDThesis.pdfbib | .pdf ]
[553] ------, “Primary Results on Multichannel Fetal ECG Recordings,” June 2007, Technical Report. [ bib ]
[554] ------, “Multipole Expansion of Body Surface Potentials: An ICA Oriented Formulation (Part I),” November 2007, Technical Report. [ bib ]
[555] ------, “Guidelines for writing efficient MATLAB codes,” Emory University, Tech. Rep., 2020. [Online]. Available: https://www.overleaf.com/read/dphnzzmnrjtsbib | http ]
[556] ------, “Removing ECG Artifacts from EEG Recordings,” May 2006, Technical Report. [ bib ]
[557] ------, “Model-Based Multichannel ECG Filtering,” December 2006, Technical Report. [ bib ]
[558] S. Tomassini, A. Sbrollini, A. Strazza, R. Sameni, I. Marcantoni, M. Morettini, and L. Burattini, “AdvFPCG-delineator: Advanced delineator for fetal phonocardiography,” Biomedical Signal Processing and Control, vol. 61, p. 102021, Aug 2020. [Online]. Available: https://doi.org/10.1016/j.bspc.2020.102021bib | http ]
[559] R. Sameni, “Primary Results on Multichannel Magnetocardiograms,” November 2006, Technical Report. [ bib ]
[560] ------, Open Source ECG Toolbox (OSET), 2006. [Online]. Available: http://ecg.sharif.ir/bib | http ]
[561] ------, “Discrimination of EEG Patterns during the Performance of Different Mental Activities,” Research Project Report, Sharif University of Technology, Tech. Rep., 2004. [ bib ]
[562] ------, “Analysis of Iterative Approaches of Interpolation-Distortion Compensation,” GIPSA-LAB, INP-Grenoble, Tech. Rep., March 2004, DSPII course term paper, Sharif University of Technology. [ bib ]
[563] ------, “Discrimination of EEG Signals during the Performance of Different Mental Tasks,” Master's thesis, Sharif University of Technology, 2003. [ bib ]
[564] ------, “Design and Implementation of a Portable Hotwire Anemometer,” IROST, Tech. Rep., November 2001. [ bib ]
[565] R. Sameni and G. D. Clifford, “A Review of Fetal ECG Signal Processing; Issues and Promising Directions,” The Open Pacing, Electrophysiology & Therapy Journal (TOPETJ), vol. 3, pp. 4--20, November 2010. [Online]. Available: 10.2174/1876536X01003010004bib | www: ]
[566] R. Sameni, G. D. Clifford, C. Jutten, and M. B. Shamsollahi, “Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals,” EURASIP Journal on Advances in Signal Processing, vol. 2007, pp. Article ID 43407, 14 pages, 2007. [Online]. Available: https://doi.org/10.1155/2007/43407bib | http ]
[567] R. Sameni, G. D. Clifford, J. Ward, J. Robertson, C. Pettigrew, and A. J. Wolfberg, “Accuracy of fetal heart rate acquired from sensors on the maternal abdomen compared to a fetal scalp electrode,” in American Journal of Obstetrics and Gynecology, vol. 201. Chicago, IL: Society for Maternal-Fetal Medicine, December 2009, pp. S241--S241. [Online]. Available: http://dx.doi.org/10.1016/j.ajog.2009.10.529bib | http ]
[568] R. Sameni and C. Gouy-Pailler, “An Iterative Subspace Denoising Algorithm for Removing Electroencephalogram Ocular Artifacts,” Journal of Neuroscience Methods, vol. 225, no. 3, pp. 97--105, March 2014. [Online]. Available: http://dx.doi.org/10.1016/j.jneumeth.2014.01.024bib | http ]
[569] ------, “An Iterative Subspace Denoising algorithm for Removing Electrocardiogram Ocular Artifact,” in Proc., l, 2012. [ bib ]
[570] ------, “Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings,” GIPSA-lab, INP-Grenoble, Tech. Rep., 2008. [ bib ]
[571] R. Sameni, C. Jutten, M. Shamsollahi, and G. Clifford, “Extraction of fetal cardiac signals,” Patent, Sep. 8, 2015, uS Patent 9,125,577. [Online]. Available: https://www.google.com/patents/US9125577bib | http ]
[572] ------, “Extraction of Fetal Cardiac Signals,” U.S. Patent US 2010/0137727 A1, June 3, 2010, licensed to MindChild Medical Inc. [ bib ]
[573] R. Sameni, C. Jutten, and M. B. Shamsollahi, “A deflation procedure for subspace decomposition,” Signal Processing, IEEE Transactions on, vol. 58, no. 4, pp. 2363--2374, 2010. [Online]. Available: https://doi.org/10.1109/TSP.2009.2037353bib | http ]
[574] ------, “Multichannel Electrocardiogram Decomposition using Periodic Component Analysis,” Biomedical Engineering, IEEE Transactions on, vol. 55, no. 8, pp. 1935--1940, Aug 2008. [Online]. Available: https://doi.org/10.1109/TBME.2008.919714bib | http ]
[575] ------, “What ICA Provides for ECG Processing: Application to Noninvasive Fetal ECG Extraction,” in Proc. of the International Symposium on Signal Processing and Information Technology (ISSPIT'06), Vancouver, Canada, August 2006, pp. 656--661. [Online]. Available: https://doi.org/10.1109/ISSPIT.2006.270882bib | http ]
[576] R. Sameni and S. Mansouri, “Designing a Training Board for the 8x51 Microcontroller Series,” September 2000, Bachlor's final project, Shiraz University. [ bib ]
[577] R. Sameni and E. Seraj, “A robust statistical framework for instantaneous electroencephalogram phase and frequency estimation and analysis,” Physiological Measurement, vol. 38, no. 12, pp. 2141--2163, 2017. [Online]. Available: http://dx.doi.org/10.1088/1361-6579/aa93a1bib | http ]
[578] R. Sameni and M. Shamsollahi, “Discrimination of EEG Signals during the Performance of Different Mental Tasks,” in Proc. of the World Congress on Medical Physics and Biomedical Engineering, Sydney, Australia, August 24-29 2003, [CD-ROM] ISBN 1877040142, Poster Paper No. 4251. [ bib ]
[579] R. Sameni, M. Shamsollahi, and C. Jutten, “Multi-Channel Electrocardiogram Denoising Using a Bayesian Filtering Framework,” in Proc. of the 33rd Annual International Conference on Computers in Cardiology, Valencia, Spain, September 17-20 2006, pp. 185--188. [Online]. Available: http://cinc.mit.edu/archives/2006/bib | http ]
[580] R. Sameni, M. Shamsollahi, and L. Senhadji, “Processing Polysomnographic Signals, using Independent Component Analysis,” in Proc. Of the International Conference on Biomedical Engineering (BIOMED 2004), Innsbruck, Austria, February 2004, pp. 193--196. [ bib ]
[581] R. Sameni, M. B. Shamsollahi, and C. Jutten, “Model-based Bayesian filtering of cardiac contaminants from biomedical recordings,” Physiological Measurement, vol. 29, no. 5, pp. 595--613, May 2008. [Online]. Available: https://doi.org/10.1088/0967-3334/29/5/006bib | http ]
[582] ------, “Filtering Electrocardiogram Signals Using the Extended Kalman Filter,” in Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Shanghai, China, September 1-4 2005, pp. 5639--5642. [Online]. Available: https://doi.org/10.1109/IEMBS.2005.1615765bib | http ]
[583] R. Sameni, M. B. Shamsollahi, C. Jutten, and M. Babaie-Zadeh, “Filtering Noisy ECG Signals Using the Extended Kalman Filter Based on a Modified Dynamic ECG Model,” in Proceedings of the 32nd Annual International Conference on Computers in Cardiology, Lyon, France, September 25-28 2005, pp. 1017--1020. [ bib ]
[584] R. Sameni, M. B. Shamsollahi, C. Jutten, and G. D. Clifford, “A nonlinear bayesian filtering framework for ECG denoising,” Biomedical Engineering, IEEE Transactions on, vol. 54, no. 12, pp. 2172--2185, December 2007. [Online]. Available: https://doi.org/10.1109/TBME.2007.897817bib | http ]
[585] R. Sameni, F. Vrins, F. Parmentier, C. Hérail, V. Vigneron, M. Verleysen, C. Jutten, and M. Shamsollahi, “Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria,” in Proc. of the 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2006), vol. 872, CNRS, Paris, France, July 8-13 2006, pp. 97--104. [Online]. Available: http://hdl.handle.net/2078.1/90753bib | http ]
[586] M. Samieinasab, “Modeling and Filtering of Fetal Phonocardiogram Signals,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, February 2015, supervised by: Dr. Reza Sameni. [ bib ]
[587] M. Samieinasab and R. Sameni, Shiraz University Fetal Heart Sounds Database (SUFHSDB), 2016. [Online]. Available: https://physionet.org/physiobank/database/sufhsdb/bib | http ]
[588] ------, “Fetal phonocardiogram extraction using single channel blind source separation,” in Electrical Engineering (ICEE), 2015 23rd Iranian Conference on, May 2015. [Online]. Available: https://doi.org/10.1109/IranianCEE.2015.7146186bib | http ]
[589] M. Samonas, M. Petrou, and A. A. Ioannides, “Identification and elimination of cardiac contribution in single-trial magnetoencephalographic signals.” IEEE Trans Biomed Eng, vol. 44, pp. 386--393, 1997. [ bib ]
[590] L. K. Saul and J. B. Allen, “Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech,” in NIPS, 2000, pp. 807--813. [Online]. Available: http://www.cs.cmu.edu/Groups/NIPS/00papers-pub-on-web/SaulAllen.pdfbib | .pdf ]
[591] P. Sauseng and W. Klimesch, “What does phase information of oscillatory brain activity tell us about cognitive processes?” Neuroscience and Biobehavioral Reviews, vol. 32, pp. 1001--1013, 2008. [ bib ]
[592] P. Sauseng, W. Klimesch, W. Gruber, S. Hanslmayr, R. Freunberger, and M. Doppelmayr, “Are event-related potential components generated by phase resetting of brain oscillations? a critical discussion,” Neuroscience, vol. 146, no. 4, pp. 1435--1444, 2007. [ bib ]
[593] P. Sauseng, W. Klimesch, W. R. Gruber, and N. Birbaumer, “Crossfrequency phase synchronization: A brain mechanism of memory matching and attention,” Neuroimage, vol. 40, pp. 308--317, 2008. [ bib ]
[594] A. Savitzky and M. J. Golay, “Smoothing and differentiation of data by simplified least squares procedures.” Analytical chemistry, vol. 36, no. 8, pp. 1627--1639, 1964. [ bib ]
[595] O. Sayadi, R. Sameni, and M. Shamsollahi, “ECG Denoising Using Parameters of ECG Dynamical Model as the States of an Extended Kalman Filter,” in Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, Aug. 2007, pp. 2548--2551. [Online]. Available: https://doi.org/10.1109/IEMBS.2007.4352848bib | DOI | http ]
[596] O. Sayadi, M. Shamsollahi, and G. Clifford, “Robust detection of premature ventricular contractions using a wave-based bayesian framework,” Biomedical Engineering, IEEE Transactions on, vol. 57, no. 2, pp. 353 --362, feb. 2010. [ bib | DOI ]
[597] O. Sayadi and M. B. Shamsollahi, “ECG denoising and compression using a modified extended Kalman filter structure,” Biomedical Engineering, IEEE Transactions on, vol. 55, no. 9, pp. 2240--2248, 2008. [ bib ]
[598] L. Scharf and M. McCloud, “Blind adaptation of zero forcing projections and oblique pseudo-inverses for subspace detection and estimation when interference dominates noise,” IEEE Trans. Signal Processing, vol. 50, no. 12, pp. 2938 -- 2946, December 2002. [ bib ]
[599] A. Schlögl, C. Keinrath, D. Zimmermann, R. Scherer, R. Leeb, and G. Pfurtscheller, “A fully automated correction method of EOG artifacts in EEG recordings.” Clin. Neurophysiol., vol. 118, no. 1, pp. 98--104, Jan 2007. [Online]. Available: http://dx.doi.org/10.1016/j.clinph.2006.09.003bib | DOI | http ]
[600] A. Schmidt, U. Schneider, O. Witte, E. Schleussner, and D. Hoyer, “Developing fetal motor-cardiovascular coordination analyzed from multi-channel magnetocardiography,” Physiological measurement, vol. 35, no. 10, pp. 1943--1959, 2014. [ bib ]
[601] R. Schneider, A. Bauer, P. Barthel, and G. Schmidt, “libRASCH: a programming framework for signal handling,” in Computers in Cardiology, 2004, 19-22 Sept. 2004, pp. 53--56. [ bib | DOI ]
[602] U. Schneider, E. Schleussner, J. Haueisen, H. Nowak, and H. Seewald, “Signal analysis of auditory evoked cortical fields in fetal magnetoencephalography.” Brain Topogr, vol. 14, no. 1, pp. 69--80, 2001. [ bib ]
[603] T. Schreiber and D. T. Kaplan, “Nonlinear noise reduction for electrocardiograms,” Chaos, vol. 6, no. 1, pp. 87--92, 1996. [ bib ]
[604] ------, “Signal separation by nonlinear projections: The fetal electrocardiogram,” Phys. Rev. E., vol. 53, pp. R4326-- R4329, 1996. [ bib ]
[605] M. Sedlacek and J. Blaska, “Low uncertainty power-line frequency estimation for distorted and noisy harmonic signals,” Measurement, vol. 35, no. 1, pp. 97 -- 107, 2004. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0263224103000952bib | DOI | http ]
[606] K. Sekihara and B. Scholz, “Generalized Wiener estimation of three-dimensional current distribution from biomagnetic measurements,” IEEE Trans Biomed Eng, vol. 43, no. 3, pp. 281--91, 1996. [ bib ]
[607] E. Seraj, “A Comparison of Cerebral Signal Phase Extraction and Analysis Methods,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, September 2016, supervised by: Dr. Reza Sameni. [ bib ]
[608] E. Seraj and R. Sameni, “Robust electroencephalogram phase estimation with applications in brain-computer interface systems,” Physiological Measurement, vol. 38, no. 3, p. 501, 2017. [Online]. Available: https://doi.org/10.1088/1361-6579/aa5bbabib | http ]
[609] M. J. Sexton and L. A. Latson, Fetal blood flow, Healthwise, Inc., October 2005. [Online]. Available: http://www.memorialhermann.org/bib | http ]
[610] M. Shao, K. Barner, and M. Goodman, “An interference cancellation algorithm for noninvasive extraction of transabdominal fetal electroencephalogram (TaFEEG),” Biomedical Engineering, IEEE Transactions on, vol. 51, no. 3, pp. 471--483, 2004. [ bib | DOI ]
[611] M. Shao, K.E.Barner, and M.H.Goodman, “An interference cancellation algorithm for noninvasive extraction of transabdominal fetal electroencephalogram (tafeeg),” IEEE Trans Biomed Eng, vol. 51, pp. 471--483, 2004. [ bib ]
[612] A. Sharma, A. Kumar, H. Daume, and D. W. Jacobs, “Generalized multiview analysis: A discriminative latent space,” in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012, pp. 2160--2167. [ bib ]
[613] R. A. Shepoval'nikov, A. P. Nemirko, A. N. Kalinichenko, and V. V. Abramchenko, “Investigation of time, amplitude, and frequency parameters of a direct fetal ECG signal during labor and delivery,” Pattern Recognition and Image Analysis, vol. 16, no. 1, pp. 74--76, January 2006. [ bib | DOI ]
[614] Y. S. Shmaliy, “Probability distributions of the envelope and phase, and their derivatives in time of the sum of a non-stationary sine signal and narrow-band gaussian noise,” Journal of the Franklin Institute, vol. 336, no. 6, pp. 1013--1022, 1999. [ bib ]
[615] H. Shono, M. Muro, M. Kohara, Y. Ito, T. Nagasawa, and H. Sugimori, “Fetal heart rate recorder for long-duration use in active full-term pregnant women,” Obstetrics & Gynecology, vol. 83, pp. 301--6, 1994. [ bib ]
[616] M. Siegel, M. R. Warden, and E. K. Miller, “Phase-dependent neuronal coding of objects in short-term memory,” Proceedings of the National Academy of Sciences, vol. 106, no. 50, pp. 21341--21346, 2009. [ bib ]
[617] M. G. Signorini, G. Magenes, S. Cerutti, and D. Arduini, “Linear and nonlinear parameters for the analysis of fetal heart rate signal from cardiotocographic recordings.” IEEE Trans Biomed Eng, vol. 50, no. 3, pp. 365--374, Mar 2003. [Online]. Available: http://dx.doi.org/10.1109/TBME.2003.808824bib | DOI | http ]
[618] I. Silva, J. Behar, R. Sameni, T. Zhu, J. Oster, G. D. Clifford, and G. B. Moody, “Noninvasive Fetal ECG: The PhysioNet/Computing in Cardiology Challenge 2013,” in Proceedings of the 40th Annual International Conference on Computers in Cardiology, Zaragoza, Spain, September 22-25 2013, pp. 149--152. [ bib ]
[619] D. Simon, Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches. John Wiley & Sons Inc., 2006. [ bib ]
[620] A. P. Singh and G. J. Gordon, “Relational learning via collective matrix factorization,” in Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, 2008, pp. 650--658. [ bib ]
[621] B. N. Singh and A. K. Tiwari, “Optimal selection of wavelet basis function applied to ECG signal denoising,” Digital Signal Processing, vol. 16, no. 3, pp. 275 -- 287, 2006. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1051200405001703bib | DOI | http ]
[622] M. Skolnik, Radar Handbook, ser. Electronics electrical engineering. McGraw-Hill, 2008. [ bib ]
[623] J. M. Skon, “Cramér-Rao Bound Analysis for Frequency Estimation of Sinusoids in Noise,” MIT, Lincoln Laboratory, Tech. Rep. 727, March 1986. [ bib ]
[624] S. Snowden, N. A. Simpson, and J. J. Walker, “A digital system for recording the electrical activity of the uterus.” Physiol Meas, vol. 22, no. 4, pp. 673--679, Nov 2001. [ bib ]
[625] L. Sornmo, “Vectorcardiographic loop alignment and morphologic beat-to-beat variability,” Biomedical Engineering, IEEE Transactions on, vol. 45, no. 12, pp. 1401--1413, December 1998. [ bib | DOI ]
[626] L. Sornmo, P. O. Borjesson, M.-e. Nygards, and O. Pahlm, “A method for evaluation of qrs shape features using a mathematical model for the ecg,” IEEE Transactions on Biomedical Engineering, no. 10, pp. 713--717, 1981. [ bib ]
[627] M. E. Spencer, R. M. Leahy, J. C. Mosher, and P. S. Lewis, “Adaptive filters for monitoring localized brain activity from surface potential time series,” 26th Asilomar Conf. Signals, Systems, and Computers, vol. 1, p. 156�161, 1992. [ bib ]
[628] G. Srivastava, S. C.-H. K. Lau, G. Glover, and V. Menon, “ICA-based procedures for removing ballistocardiogram artifacts from EEG data acquired in the MRI scanner,” Neuroimage, vol. 24, no. 1, pp. 50--60, Jan 2005. [ bib ]
[629] C. Stam, Y. Van Der Made, Y. Pijnenburg, and P. Scheltens, “Eeg synchronization in mild cognitive impairment and alzheimer's disease,” Acta Neurologica Scandinavica, vol. 108, no. 2, pp. 90--96, 2003. [ bib ]
[630] C. J. Stam, A. M. v. C. van Walsum, Y. A. Pijnenburg, H. W. Berendse, J. C. de Munck, P. Scheltens, and B. W. van Dijk, “Generalized synchronization of meg recordings in alzheimer?s disease: evidence for involvement of the gamma band,” Journal of Clinical Neurophysiology, vol. 19, no. 6, pp. 562--574, 2002. [ bib ]
[631] T. Stamkopoulos, K. Diamantaras, N. Maglaveras, and M. Strintzis, “ECG analysis using nonlinear PCA neural networks for ischemia detection,” IEEE Trans. Signal Processing, vol. 46, pp. 3058--3067, Nov. 1998. [ bib ]
[632] J. Stinstra, “Reliability of the fetal magnetocardiogram,” Ph.D. dissertation, University of Twente, Enschede, The Netherlands, 2001. [Online]. Available: http://doc.utwente.nl/35964/bib | http ]
[633] H. Stogbauer, A. Kraskov, S. A. Astakhov, and P. Grassberger, “Least dependent component analysis based on mutual information,” Physical Review E, vol. 70, p. 066123, 2004. [Online]. Available: doi:10.1103/PhysRevE.70.066123bib | www: ]
[634] G. Strang, Linear Algebra and Its Applications, 3rd ed. Brooks/Cole, 1988. [ bib ]
[635] J. Stratton, Electromagnetic Theory. McGraw-Hill Book Company Inc., 1941. [ bib ]
[636] P. Strobach, K. Abraham-Fuchs, and W. Harer, “Event-synchronous cancellation of the heart interference in biomedical signals,” Biomedical Engineering, IEEE Transactions on, vol. 41, no. 4, pp. 343 --350, april 1994. [ bib | DOI ]
[637] C. Sureau, “Electrocardiographie foetale humaine normale,” Bull. Soc. Roy. Belg. Gynec. Obstet., vol. 30, no. 2, pp. 123--151, 1960. [ bib ]
[638] Y. Surrel, “Additive noise effect in digital phase detection,” Applied Optics, vol. 36, pp. 271--276, 1997. [ bib ]
[639] A. Swami, G. Giannakis, and S. Shamsunder, “Multichannel ARMA processes,” Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], vol. 42, no. 4, pp. 898--913, April 1994. [ bib | DOI ]
[640] T. Szirtes, Applied Dimensional Analysis and Modeling. Elsevier Science, 2007. [ bib ]
[641] C. Taal, R. Hendriks, R. Heusdens, and J. Jensen, “An algorithm for intelligibility prediction of time-frequency weighted noisy speech,” Audio, Speech, and Language Processing, IEEE Transactions on, vol. 19, no. 7, pp. 2125--2136, Sept 2011. [ bib | DOI ]
[642] J. Taghia, R. Martin, and R. Hendriks, “On mutual information as a measure of speech intelligibility,” in Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, March 2012, pp. 65--68. [ bib | DOI ]
[643] A. Taleb and C. Jutten, “Source separation in post-nonlinear mixtures,” IEEE Transactions on signal Processing, vol. 47, no. 10, pp. 2807--2820, 1999. [ bib ]
[644] C. Tallon-Baudry, O. Bertrand, and C. Fischer, “Oscillatory synchrony between human extrastriate areas during visual short-term memory maintenance,” J Neurosci, vol. 21, no. 20, p. 177, 2001. [ bib ]
[645] Y. Tang, C. Danmin, and L.-G. Durand, “The synthesis of the aortic valve closure sound of the dog by the mean filter of forward and backward predictor,” Biomedical Engineering, IEEE Transactions on, vol. 39, no. 1, pp. 1--8, 1992. [ bib ]
[646] M. P. Tarvainen, S. D. Georgiadis, P. O. Ranta-aho, and P. A. Karjalainen, “Time-varying analysis of heart rate variability signals with a Kalman smoother algorithm,” Physiol. Meas., vol. 27, pp. 225--239, Mar. 2006. [ bib ]
[647] M. P. Tarvainen, P. O. Ranta-Aho, and P. A. Karjalainen, “An advanced detrending method with application to HRV analysis,” IEEE Transactions on Biomedical Engineering, vol. 49, no. 2, pp. 172--175, 2002. [ bib ]
[648] E. Tavakoli, B. Vahdat, M. Shamsollahi, and R. Sameni, “Audio Watermarking for Covert Communication through Telephone System,” in IEEE International Symposium on Signal Processing and Information Technology, 2006, Aug. 2006, pp. 955--959. [ bib | DOI ]
[649] B. Tavakol-Shoorjeh, “Distributed Component Analysis and its Applications in Biosignal Processing,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, September 2014, supervised by: Dr. Reza Sameni. [ bib ]
[650] M. J. O. Taylor, M. J. Smith, M. Thomas, A. R. Green, F. Cheng, S. Oseku-Afful, L. Y. Wee, N. M. Fisk, and H. M. Gardiner, “Non-invasive fetal electrocardiography in singleton and multiple pregnancies,” BJOG: an International Journal of Obstetrics and Gynaecology, vol. 110, pp. 668--678, Jul. 2003. [ bib ]
[651] H. ter Brake, A. Rijpma, J. Stinstra, J. Borgmann, H. Holland, H. Krooshoop, M. Peters, J. Flokstra, H. Quartero, and H. Rogalla, “Fetal magnetocardiography: clinical relevance and feasibility,” Physica C, vol. 368, pp. 10--17, March 2002. [Online]. Available: http://www.ingentaconnect.com/content/els/09214534/2002/00000368/00000001/art01132bib | DOI | http ]
[652] N. V. Thakor and Y. S. Zhu, “Application of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection,” IEEE Trans. Biomed. Eng., vol. 38, pp. 785--794, 1991. [ bib ]
[653] M. Thameri, K. AbedMeraim, and A. Belouchrani, “New Algorithm For Adaptive BSS,” in Proceedings of the 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), 2012, 2012, pp. 590--594. [ bib ]
[654] M. Thameri, A. Kammoun, K. Abed-Meraim, and A. Belouchrani, “Fast principal component analysis and data whitening algorithms,” in Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on, may 2011, pp. 139 --142. [ bib | DOI ]
[655] R. W. Thatcher, D. M. North, J. Neubrander, C. J. Biver, S. Cutler, and P. DeFina, “Autism and EEG phase reset: deficient GABA mediated inhibition in thalamo-cortical circuits,” Developmental neuropsychology, vol. 34, no. 6, pp. 780--800, 2009. [ bib ]
[656] F. Theis, N. Müller, C. Plant, and C. Böhm, “Robust second-order source separation identifies experimental responses in biomedical imaging,” in Latent Variable Analysis and Signal Separation, ser. Lecture Notes in Computer Science, V. Vigneron, V. Zarzoso, E. Moreau, R. Gribonval, and E. Vincent, Eds. Springer Berlin / Heidelberg, 2010, vol. 6365, pp. 466--473. [ bib ]
[657] M. Thulasidas, C. Guan, S. Ranganatha, J. Wu, X. Zhu, and W. Xu, “Effect of ocular artifact removal in brain computer interface accuracy.” Conf. Proc. IEEE Eng. Med. Biol. Soc., vol. 6, pp. 4385--4388, 2004. [Online]. Available: http://dx.doi.org/10.1109/IEMBS.2004.1404220bib | DOI | http ]
[658] P. Tichavsky, Z. Koldovsky, and E. Oja, “Performance analysis of the fastica algorithm and cramer-rao bounds for linear independent component analysis,” IEEE Trans. Signal Processing, vol. 54, no. 4, pp. 1189--1203, 2006. [ bib ]
[659] P. Tichavsky and A. Nehorai, “Comparative study of four adaptive frequency trackers,” Signal Processing, IEEE Transactions on, vol. 45, no. 6, pp. 1473 --1484, jun 1997. [ bib | DOI ]
[660] C. Toncharoen and B. Srisuchinwong, “A heart-sound-like chaotic attractor and its synchronization,” in Proceedings of the 6th International Conference on Electrical Engineering/ Electronics, Computer, Telecommunication and Information Technology, ECTI-CON, Pattaya, Thailand, May 2009. [ bib ]
[661] L. Tong, R.-W. Liu, V. Soon, and Y.-F. Huang, “Indeterminacy and identifiability of blind identification,” IEEE Trans. Circuits Syst., vol. 38, pp. 499--509, May 1991. [ bib ]
[662] L. Tong, V. Soon, Y. Huang, and R. Liu, “Amuse: a new blind identification algorithm,” in Circuits and Systems, 1990., IEEE International Symposium on, May 1990, pp. 1784--1787 vol.3. [ bib | DOI ]
[663] P. Torabi, “Implementation of Artificial Neural Networks on FPGA with Scalable and parametric Design,” Master's thesis, Computer Architecture, School of Electrical & Computer Engineering, Shiraz University, February 2018, supervised by: Dr. Reza Sameni. [ bib ]
[664] T. Tran, N. Jones, and J. Fothergill, “Heart sound simulator,” Medical and Biological Engineering and Computing, vol. 33, no. 3, pp. 357--359, 1995. [ bib ]
[665] H. van Trees, Detection, Estimation, and Modulation Theory, Part IV, Optimum Array Processing. John Wiley & Sons, 2002. [ bib ]
[666] ------, Detection, Estimation, and Modulation Theory. Part I. John Wiley & Sons, 2001. [ bib ]
[667] K. S. Tsakalis, “Stability, controllability, observability,” June 2001, Lecture Notes. [Online]. Available: http://tsakalis.faculty.asu.edu/notes/sco.pdfbib | .pdf ]
[668] T. Tsalaile, R. Sameni, S. Sanei, C. Jutten, and J. Chambers, “Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period,” Biomedical Engineering, IEEE Transactions on, vol. 56, no. 3, pp. 646--655, March 2009. [Online]. Available: https://doi.org/10.1109/TBME.2008.2002141bib | http ]
[669] J. Tsui, Microwave receivers with electronic warfare applications. Wiley, 1986. [ bib ]
[670] M. Turqueti, J. Saniie, and E. Oruklu, “Real-time independent component analysis implementation and applications,” in Real Time Conference (RT), 2010 17th IEEE-NPSS, may 2010, pp. 1 --7. [ bib | DOI ]
[671] M. Ungureanu and W. Wolf, “Basic aspects concerning the event-synchronous interference canceller,” Biomedical Engineering, IEEE Transactions on, vol. 53, no. 11, pp. 2240 --2247, nov. 2006. [ bib | DOI ]
[672] P. Várady, L. Wildt, Z. Benyó, and A. Hein, “An advanced method in fetal phonocardiography,” Computer Methods and Programs in Biomedicine, vol. 71, no. 3, pp. 283--296, 2003. [ bib ]
[673] E. Vaadia, L. Haalman, M. Abeles, H. Bergman, Y. Prut, H. Slovin, and A. Aertsen, “Dynamics of neuronal interactions in monkey cortex in relation to behavior events,” Nature, vol. 373, pp. 515--518, 1995. [ bib ]
[674] B. Vahabzadeh, “Study of Heart Rate Calculation Techniques and the Notion of Cardiac Signal Phase,” Master's thesis, Biomedical Engineering, School of Electrical & Computer Engineering, Shiraz University, February 2012, supervised by: Dr. Reza Sameni. [ bib ]
[675] B. Vahabzadeh and R. Sameni, “The Notion of Cardiac Phase and its Applications in Electrophysiological Studies,” in Biomedical Engineering (BioMed 2012), Innsbruck, Austria, February 15--17 2012. [Online]. Available: http://dx.doi.org/10.2316/P.2012.764-127bib | http ]
[676] P. Vaidyanathan, Multirate Systems and Filter Banks, ser. Prentice Hall Signal Processing Series. Prentice Hall, 1993. [ bib ]
[677] A. Valizadeh, R. Mohammadian, A. Rafiei, and A. Rafati, “A novel algorithm for signal subspace tracking based on a new subspace information criterion,” in Information, Communications Signal Processing, 2007 6th International Conference on, dec. 2007, pp. 1 --4. [ bib | DOI ]
[678] H. P. van Geijn, “Developments in CTG analysis,” Baillieres Clin Obstet Gynaecol., vol. 10, no. 2, pp. 185--209, June 1996. [ bib ]
[679] P. Van Leeuwen, D. Geue, D. H. Grönemeyer et al., “Detecting gross fetal movements using fetal magnetocardiography,” in 17th International Conference on Biomagnetism Advances in Biomagnetism--Biomag2010. Springer, 2010, pp. 258--261. [ bib ]
[680] P. van Leeuwen, S. Lange, H. Bettermann, D. Gr?nemeyer, and W. Hatzmann, “Fetal heart rate variability and complexity in the course of pregnancy,” Early Hum Dev, vol. 54, no. 3, pp. 259--269, Apr 1999. [ bib ]
[681] P. van Leeuwen, S. Lange, A. Klein, D. Geue, and D. H. Grünemeyer, “Dependency of magnetocardiographically determined fetal cardiac time intervals on gestational age, gender and postnatal biometrics in healthy pregnancies,” BMC Pregnancy Childbirth, vol. 4, no. 1, p. 6, 2004. [ bib | DOI ]
[682] H. Van Trees, Detection, Estimation, and Modulation Theory, ser. Detection, Estimation, and Modulation Theory. Wiley, 2004. [ bib ]
[683] B. Van Veen, J. Joseph, and K. Hecox, “Localization of intra-cerebral sources of electrical activity via linearly constrained minimum variance spatial filtering,” in IEEE Sixth SP Workshop on Statistical Signal and Array Processing, 7-9 Oct 1992 1992, pp. 526--529. [ bib ]
[684] B. D. Van Veen, W. Van Drongelen, M. Yuchtman, and A. Suzuki, “Localization of brain electrical activity via linearly constrained minimum variance spatial filtering,” IEEE Trans. Biomed. Eng, vol. 44, p. 867�880, 1997. [ bib ]
[685] J. van Zaen, L. Uldry, C. Duchêne, Y. Prudat, R. A. Meuli, M. M. Murray, and J.-M. Vesin, “Adaptive tracking of EEG oscillations,” Journal of Neuroscience Methods, vol. 186, no. 1, pp. 97--106, 2010. [ bib | DOI ]
[686] K. Vandenberghe, “Fetal behaviour. Development and perinatal aspects: Edited by JG Nijhuis Oxford University Press, Oxford, 1992 ISBN 019 2620894 283 pp.(Fig. and tables),” 1993. [ bib ]
[687] J. Vanderschoot, D. Callaerts, W. Sansen, J. Vandewalle, G. Vantrappen, and J. Janssens, “Two methods for optimal MECG elimination and FECG detection from skin electrode signals,” IEEE Trans Biomed Eng, vol. BME-34, pp. 233--243, 1987. [ bib ]
[688] F. J. Varela, J. P. Lachaux, E. Rodriguez, and J. Martinerie, “The brainweb: phase synchronization and large-scale integration,” Nature Reviews N, vol. 2, pp. 229--239, 2001. [ bib ]
[689] L. Vas, “Mathematical Modeling,” Lecture Notes, 2014. [Online]. Available: http://www.usciences.edu/~lvas/bib | http ]
[690] R. Vigario, J. Sarela, V. Jousmaki, M. Hamalainen, and E. Oja, “Independent component approach to the analysis of EEG and MEG recordings.” IEEE Trans Biomed Eng, vol. 47, no. 5, pp. 589--593, May 2000. [ bib ]
[691] V. Vigneron, A. Paraschiv-Ionescu, A. Azancot, O. Sibony, and C. Jutten, “Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising,” Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on, vol. 2, pp. 69--72 vol.2, 1-4 July 2003. [ bib | DOI ]
[692] A. M. Vintzileos, D. Nochimson, E. R. Guzman, R. A. Knuppel, M. Lake, and B. S. Schifrin, “Intrapartum electronic fetal heart rate monitoring versus intermittent auscultation: a meta-analysis,” Obstet Gynecol, vol. 85, no. 1, pp. 149--55, 1995. [ bib ]
[693] B. Voytek, R. T. Canolty, A. Shestyuk, N. Crone, J. Parvizi, and R. T. Knight, “Shifts in gamma phase--amplitude coupling frequency from theta to alpha over posterior cortex during visual tasks,” Frontiers in human neuroscience, vol. 4, p. 191, 2010. [ bib ]
[694] J. Vrba, Applications of Superconductivity. Kluwer Academic Publishers, 2000, ch. Multichannel SQUID biomagnetic systems, pp. 61--138. [ bib ]
[695] J. Vrba, S. Robinson, J. McCubbin, C. Lowery, H. Eswaran, J. Wilson, P. Murphy, and H. Preissl, “Fetal MEG redistribution by projection operators,” IEEE Trans Biomed Eng, vol. 51, pp. 1207--1218, 2004. [ bib ]
[696] J. Vrba, S. Robinson, J. McCubbin, P. Murphy, H. Eswaran, J. Wilson, H. Preissl, and C. Lowery, “Human fetal brain imaging by magnetoencephalography: verification of fetal brain signals by comparison with fetal brain models.” Neuroimage, vol. 21, no. 3, pp. 1009--20, 2004. [ bib ]
[697] G. de Vries, T. Hillen, M. Lewis, B. Schõnfisch, and J. Muller, A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods, ser. Monographs on Mathematical Modeling and Computation. Society for Industrial and Applied Mathematics, 2006. [ bib ]
[698] F. Vrins, C. Jutten, and M. Verleysen, “Sensor array and electrode selection for non-invasive fetal electrocardiogram extraction by independent component analysis,” in Independent Componenent Analysis and Blind Signal Separation, ser. Lecture Notes in Computer Science (LNCS 3195), A. P. C.G. Puntonet, Ed. Springer, 2004, pp. 1017--1024. [ bib ]
[699] F. Vrins, J. A. Lee, M. Verleysen, V. Vigneron, and C. Jutten, “Improving independent component analysis performances by variable selection,” in NNSP 2003, 13th IEEE Signal Processing Workshop on Neural Networks for Signal Processing, Toulouse (France), 2003, pp. 359--368. [ bib ]
[700] F. Vrins, V. Vigneron, C. Jutten, and M. Verleysen, “Abdominal electrodes analysis by statistical processing for fetal electrocardiogram extraction,” in BioMed 2004, 2nd IASTED Int. Conf. on Biomedical Engineering, Innsbruck (Austria), 2004, pp. 244--249. [ bib ]
[701] R. Vullings, M. Mischi, S. G. Oei, and J. W. Bergmans, “Novel Bayesian vectorcardiographic loop alignment for improved monitoring of ECG and fetal movement,” Biomedical Engineering, IEEE Transactions on, vol. 60, no. 6, pp. 1580--1588, 2013. [ bib ]
[702] R. Vullings, C. Peters, M. Mischi, R. Sluijter, G. Oei, and J. Bergmans, “Artifact reduction in maternal abdominal ecg recordings for fetal ecg estimation,” in Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, aug. 2007, pp. 43 --46. [ bib | DOI ]
[703] R. Vullings, C. H. L. Peters, R. J. Sluijter, M. Mischi, S. G. Oei, and J. W. M. Bergmans, “Dynamic segmentation and linear prediction for maternal ecg removal in antenatal abdominal recordings.” Physiol Meas, vol. 30, no. 3, pp. 291--307, 2009. [Online]. Available: http://www.biomedsearch.com/nih/Dynamic-segmentation-linear-prediction-maternal/19223679.htmlbib | .html ]
[704] R. Wakai, M. Chen, and B. van Veen, “Linear minimum mean-square error filtering for evoked responses: application to fetal MEG,” IEEE Trans Biomed Eng, vol. 53, pp. 959 -- 963, 2006. [ bib ]
[705] R. Wakai, J. Strasburger, Z. Li, B. Deal, and N. Gotteiner, “Magnetocardiographic rhythm patterns at initiation and termination of fetal supraventricular tachycardia,” Circulation, vol. 107, no. 2, pp. 307--312, 2003. [ bib ]
[706] R. T. Wakai, “Assessment of fetal neurodevelopment via fetal magnetocardiography.” Exp Neurol, vol. 190 Suppl 1, pp. S65--S71, Nov 2004. [Online]. Available: http://dx.doi.org/10.1016/j.expneurol.2004.04.019bib | DOI | http ]
[707] R. T. Wakai and W. J. Lutter, “Matched-filter template generation via spatial filtering: Application to fetal biomagnetic recordings,” IEEE Trans Biomed Eng, vol. 49, pp. 1214--1217, Octobr 2002. [ bib ]
[708] E. Wan et al., ReBEL: Recursive Bayesian Estimation Library. [Online]. Available: http://choosh.ece.ogi.edu/rebel/bib | http ]
[709] X. Wan, K. Iwata, J. Riera, M. Kitamura, and R. Kawashima, “Artifact reduction for simultaneous EEG/fMRI recording: Adaptive fir reduction of imaging artifacts,” Clinical Neurophysiology, vol. 117, no. 3, pp. 681--692, March 2006. [Online]. Available: http://dx.doi.org/10.1016/j.clinph.2005.07.025bib | DOI | http ]
[710] Y. Weiss, “Segmentation using eigenvectors: A unifying view,” in Proc. IEEE Int. Conf. Computer Vision (2), 1999, pp. 975--982. [Online]. Available: citeseer.ist.psu.edu/weiss99segmentation.htmlbib | .html ]
[711] L. Weixue and X. Ling, “Computer simulation of epicardial potentials using a heart-torso model with realistic geometry,” Biomedical Engineering, IEEE Transactions on, vol. 43, pp. 211--217, Feb. 1996. [ bib ]
[712] M. Westerhuis, K. Moons, E. van Beek, S. Bijvoet, A. Drogtrop, H. van Geijn, J. van Lith, B. Mol, J. Nijhuis, S. G. Oei, M. Porath, R. Rijnders, N. Schuitemaker, I. van der Tweel, G. Visser, C. Willekes, and A. Kwee, “A randomised clinical trial on cardiotocography plus fetal blood sampling versus cardiotocography plus st-analysis of the fetal electrocardiogram (stan(r)) for intrapartum monitoring,” BMC Pregnancy and Childbirth, vol. 7, no. 1, p. 13, 2007. [Online]. Available: http://www.biomedcentral.com/1471-2393/7/13bib | DOI | http ]
[713] J. Westgate, L. Bennet, C. Brabyn, C. Williams, and A. Gunn, “St waveform changes during repeated umbilical cord occlusions in near-term fetal sheep,” Am J Obstet Gynecol, vol. 184, pp. 743--751, 2001. [ bib | DOI ]
[714] J. Westgate, M. Harris, J. S. H. Curnow, and K. R. Greene, “Randomised trial of cardiotocography alone or with st waveform analysis for intrapartum monitoring,” The Lancet, vol. 340, no. 8813, pp. 194 -- 198, 1992. [Online]. Available: http://www.sciencedirect.com/science/article/B6T1B-49K5G3B-7H/2/821ed8d2f7a9e29f6c095caeae5df4eabib | DOI | http ]
[715] B. Widrow, J. Glover, J. McCool, J. Kaunitz, C. Williams, H. Hearn, J. Zeidler, E. Dong, and R. Goodlin, “Adaptive Noise Cancelling: Principles and Applications,” Proc. IEEE, vol. 63, no. 12, pp. 1692--1716, 1975. [ bib ]
[716] B. Widrow and I. Kollár, Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications. Cambridge University Press, 2008. [ bib ]
[717] R. Xia, K. Meng, F. Qian, and Z.-L. Wang, “Online wavelet denoising via a moving window,” Acta Automatica Sinica, vol. 33, no. 9, pp. 897 -- 901, 2007. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1874102907600421bib | DOI | http ]
[718] D. Xu, S. Yan, D. Tao, S. Lin, and H. Zhang, “Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content Based Image Retrieval,” IEEE Trans. Image Processing, vol. 16, no. 11, pp. 2811--2821, November 2007. [Online]. Available: www.ntu.edu.sg/home/dongxu/TIP-MFASingle.pdfbib | .pdf ]
[719] J. Xu, L.-G. Durand, and P. Pibarot, “Nonlinear transient chirp signal modeling of the aortic and pulmonary components of the second heart sound,” Biomedical Engineering, IEEE Transactions on, vol. 47, no. 10, pp. 1328--1335, 2000. [ bib ]
[720] W. Xu, X. Liu, and Y. Gong, “Document clustering based on non-negative matrix factorization,” in Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. ACM, 2003, pp. 267--273. [ bib ]
[721] O. Yilmaz and S. Rickard, “Blind separation of speech mixtures via time-frequency masking,” Signal Processing, IEEE Transactions on, vol. 52, no. 7, pp. 1830--1847, July 2004. [ bib | DOI ]
[722] S. Yan and X. Tang, “Trace Quotient Problems Revisited,” in ECCV (2), 2006, pp. 232--244. [ bib ]
[723] B. Yang, “Projection approximation subspace tracking,” Signal Processing, IEEE Transactions on, vol. 43, no. 1, pp. 95 --107, jan 1995. [ bib | DOI ]
[724] J. Yang, H. Xi, F. Yang, and Y. Zhao, “Rls-based adaptive algorithms for generalized eigen-decomposition,” Signal Processing, IEEE Transactions on, vol. 54, no. 4, pp. 1177 -- 1188, april 2006. [ bib | DOI ]
[725] D. Yellin and B. Friedlander, “Multichannel system identification and deconvolution: performance bounds,” IEEE Trans. Signal Processing, vol. 47, no. 5, pp. 1410--1414, 1999. [ bib | DOI ]
[726] ------, “Blind multi-channel system identification and deconvolution: performance bounds,” in Proc. No.96TB10004 th IEEE Signal Processing Workshop on (Cat Statistical Signal and Array Processing, 1996, pp. 582--585. [ bib | DOI ]
[727] T. Y. Young and W. H. Huggins, “On the representation of electrocardiograms,” Bio-medical Electronics, IEEE Transactions on, vol. 10, no. 3, pp. 86 --95, 1963. [ bib | DOI ]
[728] F. Zappasodi, F. Tecchio, V. Pizzella, E. Cassetta, G. V. Romano, G. Filligoi, and P. M. Rossini, “Detection of fetal auditory evoked responses by means of magnetoencephalography,” Brain Research, vol. 917, no. 2, pp. 167 -- 173, 2001. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0006899301029018bib | DOI | http ]
[729] V. Zarzoso and A. Nandi, “Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation,” Biomedical Engineering, IEEE Transactions on, vol. 48, no. 1, pp. 12--18, January 2001. [ bib | DOI ]
[730] V. Zarzoso and A. K. Nandi, “Comparison between blind separation and adaptive noise cancellation techniques for fetal electrocardiogram extraction,” in IEE Colloq. Medical Applications for Signal Processing, 1999, pp. 1/1--1/6. [ bib ]
[731] V. Zarzoso, A. K. Nandi, and E. Bacharakis, “Maternal and fetal ECG separation using blind source separation methods,” IMA J. Math. Appl. Med. Biol, vol. 14, pp. 207--225, 1997. [ bib ]
[732] F. Zhang, S. Chen, H. Zhang, X. Zhang, and G. Li, “Bioelectric signal detrending using smoothness prior approach,” Medical engineering & physics, vol. 36, no. 8, pp. 1007--1013, 2014. [ bib ]
[733] J. Zhang, J. Zhang, and H. Wang, “A new pretreatment approach of eliminating abnormal data in discrete time series,” in Proc. IEEE International Geoscience and Remote Sensing Symposium IGARSS '05, H. Wang, Ed., vol. 1, 2005, pp. 4 pp.--. [ bib | DOI ]
[734] X. Zhang, L.-G. Durand, L. Senhadji, H. C. Lee, and J.-L. Coatrieux, “Analysis-synthesis of the phonocardiogram based on the matching pursuit method,” Biomedical Engineering, IEEE Transactions on, vol. 45, no. 8, pp. 962--971, 1998. [ bib ]
[735] Z.-L. Zhang and Z. Yi, “Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction,” Neurocomputing, vol. 69, no. 7-9, pp. 894--899, 2006. [ bib ]
[736] H. Zhao and R. T. Wakai, “Simultaneity of foetal heart rate acceleration and foetal trunk movement determined by foetal magnetocardiogram actocardiography,” Physics in medicine and biology, vol. 47, no. 5, p. 839, 2002. [ bib ]
[737] Q. Zhao, L. Zhang, A. Cichocki, and J. Li, “Incremental Common Spatial Pattern algorithm for BCI,” in Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, june 2008, pp. 2656 --2659. [ bib | DOI ]
[738] T. Zhu, A. E. Johnson, J. Behar, and G. D. Clifford, “Crowd-sourced annotation of ECG signals using contextual information,” Annals of biomedical engineering, vol. 42, no. 4, pp. 871--884, 2014. [ bib ]
[739] A. Ziehe and K.-R. Müller, “Tdsep?an efficient algorithm for blind separation using time structure,” in ICANN 98. Springer, 1998, pp. 675--680. [ bib ]
[740] Y. Zigel, A. Cohen, and A. Katz, “Ecg signal compression using analysis by synthesis coding,” Biomedical Engineering, IEEE Transactions on, vol. 47, no. 10, pp. 1308 --1316, oct. 2000. [ bib | DOI ]
[741] A. Zuckerwar, R. Pretlow, J. Stoughton, and D. Baker, “Development of a piezopolymer pressure sensor for a portable fetal heart rate monitor,” Biomedical Engineering, IEEE Transactions on, vol. 40, no. 9, pp. 963--969, 1993. [ bib | DOI ]
[742] J. Bronzino, Ed., The Biomedical Engineering Handbook, 2nd ed. CRC Press, Inc., 2000. [ bib ]
[743] A. Cichocki and S. Amari, Eds., Adaptive Blind Signal and Image Processing. John Wiley & Sons Inc., 2003. [ bib ]
[744] E. Cohen, R. F. Riesenfeld, and G. Elber, Eds., Geometric Modeling with Splines. A K Peters Ltd., 2001. [ bib ]
[745] A. Gelb, Ed., Applied Optimal Estimation. MIT Press, 1974. [ bib ]
[746] M. S. Grewal, L. R. Weill, and A. P. Andrews, Eds., Global Positioning Systems, Inertial Navigation, and Integration. John Wiley & Sons Inc., 2001. [ bib ]
[747] A. C. Guyton and J. Hall, Eds., Textbook of Medical Physiology, 9th ed. W. B. Saunders Co., 1996. [ bib ]
[748] S. Haykin, Ed., Kalman Filtering and Neural Networks. John Wiley & Sons Inc., 2001. [ bib ]
[749] J. A. Malmivuo and R. Plonsey, Eds., Bioelectromagnetism, Principles and Applications of Bioelectric and Biomagnetic Fields. Oxford University Press, 1995. [Online]. Available: http://butler.cc.tut.fi/~malmivuo/bem/bembookbib | http ]
[750] W. J. Tompkins, Ed., Biomedical Digital Signal Processing: C Language Examples and Laboratory Experiments for the IBM PC. Englewood Cliffs, NJ: Prentice Hall, 1993. [ bib ]
[751] J. G. Webster, Ed., Medical Instrumentation: Application and Design, 3rd ed. John Wiley & Sons, 1998. [ bib ]
[752] J. Wladimiroff and G. Pilu, Eds., Ultrasound and the Fetal Heart. New York, NY: Parthenon Publishing, 1996. [ bib ]
[753] The PTB Diagnostic ECG Database, Physikalisch-Technische Bundesanstalt (PTB). [Online]. Available: http://www.physionet.org/physiobank/database/ptbdb/bib | http ]
[754] The MIT-BIH Arrhythmia Database. [Online]. Available: http://www.physionet.org/physiobank/database/mitdb/bib | http ]
[755] The MIT-BIH Noise Stress Test Database. [Online]. Available: http://www.physionet.org/physiobank/database/nstdb/bib | http ]
[756] The MIT-BIH Normal Sinus Rhythm Database. [Online]. Available: http://www.physionet.org/physiobank/database/nsrdb/bib | http ]
[757] The MIT-BIH PTB Diagnosis Database. [Online]. Available: http://www.physionet.org/physiobank/database/ptbdb/bib | http ]
[758] Scientific Computing and Imaging Institute. [Online]. Available: http://www.sci.utah.edu/index.htmlbib | .html ]
[759] Curse of dimensionality, Wikipedia. [Online]. Available: http://en.wikipedia.org/wiki/Curse_of_dimensionalitybib | http ]
[760] Cardiotocograph, Wikipedia. [Online]. Available: http://en.wikipedia.org/wiki/Cardiotocographbib | http ]
[761] Superconducting Quantum Interference Devices (SQUID), Wikipedia. [Online]. Available: http://en.wikipedia.org/wiki/SQUIDbib | http ]
[762] Electronic Stethoscopes, JABES, 2014. [Online]. Available: www.jabes-stethoscopes.eu/bib | www: ]
[763] Signal Processing Center, Shiraz University, 2014. [Online]. Available: http://spc.shirazu.ac.irbib | http ]
[764] “Pauli Miettinen's Homepage,” 2010. [Online]. Available: http://www.cs.helsinki.fi/u/pamietti/bib | http ]
[765] Congenital Heart Defects in Children Fact Sheet, American Heart Association, 2008. [Online]. Available: http://www.americanheart.org/childrenbib | http ]
[766] Phonocardiography, Encyclopaedia Britannica, Inc., 2008. [Online]. Available: http://www.britannica.com/bib | http ]
[767] PubMed, The U.S. National Library of Medicine and the National Institutes of Health, 2008, A service of the U.S. National Library of Medicine and the National Institutes of Health. [Online]. Available: http://www.pubmed.gov/bib | http ]
[768] Physiology, Cardiovascular Consultants, 2006. [Online]. Available: http://www.cardioconsult.com/Physiology/bib | http ]
[769] Congenital Heart Defects, March of Dimes, 2005. [Online]. Available: http://www.marchofdimes.com/professionals/14332_1212.aspbib | http ]
[770] CancerWEB, Centre for Cancer Education, University of Newcastle upon Tyne, 1998. [Online]. Available: http://cancerweb.ncl.ac.uk/bib | http ]
[771] F. Jamshidian-Tehrani and R. Sameni, “Fetal ECG extraction from time-varying and low-rank noninvasive maternal abdominal recordings,” Physiological Measurement, Nov 2018. [Online]. Available: http://dx.doi.org/10.1088/1361-6579/aaef5dbib | http ]
[772] F. Jamshidian-Tehrani, R. Sameni, and C. Jutten, “Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 5, pp. 1377--1386, 2020. [Online]. Available: http://dx.doi.org/10.1109/TBME.2019.2936943bib | http ]
[773] A. Zollanvari, A. P. James, and R. Sameni, “A theoretical analysis of the peaking phenomenon in classification,” Journal of Classification, Jul 2019. [Online]. Available: https://doi.org/10.1007/s00357-019-09327-3bib | http ]
[774] R. Sameni, “Mathematical modeling of epidemic diseases; a case study of the COVID-19 coronavirus,” arXiv preprint, 2020. [Online]. Available: https://arxiv.org/abs/2003.11371bib | http ]
[775] ------, “Model-based prediction and optimal control of pandemics by non-pharmaceutical interventions,” IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 2, pp. 307--317, Feb. 2022. [Online]. Available: https://doi.org/10.1109/jstsp.2021.3129118bib | http ]
[776] A. B. Rad, C. Galloway, D. Treiman, J. Xue, Q. Li, R. Sameni, D. Albert, and G. D. Clifford, “Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach,” PLOS ONE, vol. 16, no. 11, p. e0259916, Nov. 2021. [Online]. Available: https://doi.org/10.1371/journal.pone.0259916bib | http ]
[777] C. Hegde, A. B. Rad, R. Sameni, and G. D. Clifford, “Modeling social distancing and quantifying epidemic disease exposure in a built environment,” IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 2, pp. 289--299, Feb. 2022. [Online]. Available: https://doi.org/10.1109/jstsp.2022.3145622bib | http ]
[778] E. Grooby, C. Sitaula, D. Fattahi, R. Sameni, K. Tan, L. Zhou, A. King, A. Ramanathan, A. Malhotra, G. A. Dumont, and F. Marzbanrad, “Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications,” IEEE Access, vol. 10, pp. 10934--10948, 2022. [Online]. Available: https://doi.org/10.1109/access.2022.3144355bib | DOI | http ]
[779] J. H. Oliveira, F. Renna, P. Costa, D. Nogueira, C. Oliveira, C. Ferreira, A. Jorge, S. Mattos, T. Hatem, T. Tavares, A. Elola, A. Rad, R. Sameni, G. D. Clifford, and M. T. Coimbra, “The CirCor DigiScope dataset: From murmur detection to murmur classification,” IEEE Journal of Biomedical and Health Informatics, pp. 1--1, 2021. [Online]. Available: https://doi.org/10.1109/jbhi.2021.3137048bib | http ]
[780] N. Katebi, R. Sameni, and G. D. Clifford, “Deep sequence learning for accurate gestational age estimation from a $25 doppler device,” 2020. [ bib | arXiv ]

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