conferences.bib

@comment{{This file has been generated by bib2bib 1.98}}
@comment{{Command line: bib2bib -ob conferences.bib -c "author : 'Sameni'" -c "$type = 'INPROCEEDINGS' or $type = 'CONFERENCE'" References.bib}}
@inproceedings{Amini08,
  title = {{MR Artifact Reduction in the Simultaneous Acquisition of EEG and fMRI of Epileptic Patients}},
  author = {L. Amini and R. Sameni and C. Jutten and G.A. Hossein-Zadeh and H. Soltanian-Zadeh},
  booktitle = {{EUSIPCO2008 - 16th European Signal Processing Conf.}},
  year = {2008},
  address = {Lausanne, Switzerland},
  month = {August 25-29},
  owner = {sameni},
  timestamp = {2008.04.22}
}
@conference{BeharAJOG2013,
  title = {{Evaluation of the fetal QT interval using non-invasive fetal ECG technology}},
  author = {Joachim Behar and Adam Wolfberg and Tingting Zhu and Julian Oster and Alisa Niksch and Douglas Mah and Terrence Chun and James Greenberg and Cassandre Tanner and Jessica Harrop and Alexander Van Esbroeck and Amy Alexander and Michele McCarroll and Timothy Drake and Angela Silber and Reza Sameni and Jay Ward and Gari Clifford},
  booktitle = {{American Journal of Obstetrics and Gynecology}},
  year = {2014},
  address = {New Orleans, LA},
  month = {February},
  organization = {{Society for Maternal-Fetal Medicine}},
  pages = {S283--S284},
  volume = {210},
  url = {https://doi.org/10.1016/j.ajog.2013.10.609}
}
@inproceedings{CliffordSameni2008,
  title = {{An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms}},
  author = {G.D. Clifford and S. Nemati and R. Sameni},
  booktitle = {Computers in Cardiology, 2008},
  year = {2008},
  address = {Bologna, Italy},
  month = {September 14--17},
  pages = {773--776},
  abstract = {We present generalizations of our previously published artificial models for generating multi-channel ECG so that the simulation of abnormal rhythms is possible. Using a three-dimensional vectorcardiogram (VCG) formulation, we generate the normal cardiac dipole for a patient using a sum of Gaussian kernels, fitted to real VCG recordings. Abnormal beats are then specified either as new dipoles, or as perturbations of the existing dipole. Switching between normal and abnormal beat types is achieved using a hidden Markov model (HMM). Probability transitions can be learned from real data or modeled by coupling to heart rate and sympathovagal balance. Natural morphology changes form beat-to-beat are incorporated as before from varying the angular frequency of the dipole as a function of the inter-beat (RR) interval. The RR interval time series is generated using our previously described model whereby time-and frequency-domain heart rate (HR) and heart rate variability (HRV) characteristics can be specified. QT-HR hysteresis is simulated by coupling the Gaussian kernels associated with the T-wave in the model with a nonlinear factor related to the local HR (determined from the last N RR intervals). Morphology changes due to respiration are simulated by coupling the RR interval to the angular frequency of the dipole. We demonstrate an example of the use of this model by simulating T-Wave Alternans (TWA). The magnitude of the TWA effect is modeled as a disturbance on the T-loop of the dipole with a magnitude that differs in each of the three VCG planes. The effect is then turned on or off using a HMM. The values of the transition matrix are determined by the local heart rate, such that when the HR ramps up towards 100 BPM, the probability of a TWA effect rapidly but smoothly increases. In this way, no 'sudden' switching from non-TWA to TWA is observed, and the natural tendency for TWA to be associated with a critical HR-related activation level is simulated. Finally, to generate multi-lead signals, the VCG is mapped to any set of clinical leads using a Dower-like transform derived from a least-squares optimization between known VCGs and known lead morphologies. ECGs with calibrated amounts of TWA were generated by this model and included in the PhysioNet/CinC Challenge 2008 data set.}
}
@conference{CliffordAJOG2009,
  title = {{Comparing the fetal ST-segment acquired using a FSE and abdominal sensors}},
  author = {Gari D. Clifford and Reza Sameni and Jay Ward and Jim Robertson and Courtenay Pettigrew and Adam J. Wolfberg},
  booktitle = {{American Journal of Obstetrics and Gynecology}},
  year = {2009},
  address = {Chicago, IL},
  month = {December},
  organization = {{Society for Maternal-Fetal Medicine}},
  pages = {S242--S242},
  volume = {201},
  owner = {sameni},
  timestamp = {2011.02.09},
  url = {http://dx.doi.org/10.1016/j.ajog.2009.10.535}
}
@inproceedings{CongJSG08,
  title = {{A new General Weighted Least-Squares Algorithm for Approximate Joint Diagonalization}},
  author = {M. Congedo and C. Jutten and R. Sameni and C. Gouy-Pailler},
  booktitle = {Proceedings of the 4th International BCI Workshop},
  year = {2008},
  address = {Graz, Austria},
  owner = {Cedric Gouy-Pailler},
  timestamp = {2008.06.25}
}
@inproceedings{FatemiCINC2013,
  title = {{A Robust Framework for Noninvasive Extraction of Fetal Electrocardiogram Signals}},
  author = {Marzieh Fatemi and Mohammad Niknazar and Reza Sameni},
  booktitle = {Proceedings of the 40th Annual International Conference on Computers in Cardiology},
  year = {2013},
  address = {Zaragoza, Spain},
  month = {September 22-25},
  pages = {201--204},
  vol = {40}
}
@inproceedings{FatemiSameni2013,
  title = {{Application of second and higher order subspace tracking in multichannel data analysis}},
  author = {Fatemi, M. and Sameni, R.},
  booktitle = {Biomedical Engineering (ICBME), 2013 20th Iranian Conference on},
  year = {2013},
  month = {Dec},
  pages = {161-165},
  abstract = {The problem of blind source separation (BSS) and tracking from time-varying mixtures is an open-problem of biomedical signal processing research. In this study we present a framework for decomposing and tracking instantaneous separation matrices of independent component analysis (ICA) solutions of BSS. The decomposition is based on the tracking of the second order statistics (SOS) and higher order statistic (HOS) stages of ICA. We investigate the variations of data subspaces by means of tracking the principal angle and Givens rotation angles of the instantaneous mixture. The application of this technique is illustrated for electrocardiogram signals. We shown how the SOS and HOS variations of time-varying mixtures can be decoupled and may correspond to the second and higher order properties of the data. This new approach is believed to have various advantages for online subspace tracking in blind and semi-blind scenarios and the better examination of statistic characteristics of multichannel data, especially for biosignal processing.},
  keywords = {blind source separation;electrocardiography;independent component analysis;medical signal processing;statistics;BSS;Givens rotation angles;ICA;biomedical signal processing;blind scenarios;blind source separation;electrocardiogram signals;higher order statistic;higher order subspace tracking;independent component analysis;instantaneous separation matrices;multichannel data analysis;online subspace tracking;principal angle;second order statistics;second order subspace tracking;semiblind scenarios;time-varying mixtures;Biomedical engineering;Educational institutions;Eigenvalues and eigenfunctions;Electrocardiography;Matrix decomposition;Source separation;Vectors},
  url = {http://dx.doi.org/10.1109/ICBME.2013.6782211}
}
@inproceedings{GouyPailler09,
  title = {{Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings}},
  author = {C. Gouy-Pailler and R. Sameni and M. Congedo and C. Jutten},
  booktitle = {Proc. of the 8th Intl. Conf. on Independent Component (ICA 2009)},
  year = {2009},
  address = {Paraty, Brazil},
  pages = {419--426},
  owner = {sameni},
  timestamp = {2008.04.22},
  url = {https://link.springer.com/chapter/10.1007/978-3-642-00599-2_53}
}
@inproceedings{haghpanahi2014scoring,
  title = {{Scoring consensus of multiple ECG annotators by optimal sequence alignment}},
  author = {Haghpanahi, Masoumeh and Sameni, Reza and Borkholder, David A},
  booktitle = {Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE},
  year = {2014},
  organization = {IEEE},
  pages = {1855--1859},
  url = {https://doi.org/10.1109/EMBC.2014.6943971}
}
@inproceedings{Hassani2012,
  title = {{Using matched filters for similarity search in genomic data}},
  author = {Hassani Saadi, Hamed and Sameni, Reza},
  booktitle = {{Proceedings of the 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP)}},
  year = {2012},
  address = {Shiraz, Iran},
  month = {2-3 May 2012},
  pages = {469--472},
  owner = {sameni},
  timestamp = {2012.10.23},
  url = {https://doi.org/10.1109/AISP.2012.6313793}
}
@inproceedings{JSH06,
  title = {{On the Relevance of Independent Components}},
  author = {C. Jutten and R. Sameni and H. Hauksd\'{o}ttir},
  booktitle = {Proc. of the ICA Research Network International Workshop (ICArn 2006)},
  year = {2006},
  address = {Liverpool, UK},
  month = {September 18-19},
  pages = {1--8}
}
@inproceedings{Kharabian2009,
  title = {{Fetal R-wave detection from multichannel abdominal ECG recordings in low SNR}},
  author = {Kharabian, S. and Shamsollahi, M.B. and Sameni, R.},
  booktitle = {Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009)},
  year = {2009},
  address = {Minneapolis, Minnesota, USA},
  month = {Sep.},
  pages = {344--347},
  doi = {10.1109/IEMBS.2009.5333578},
  issn = {1557-170X},
  journal = {Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE},
  keywords = {Hilbert transform;ICA;SNR;fetal ECG extraction algorithm;fetal R-wave detection;fetal repositioning;independent component analysis;maternal ECG cancellation;multichannel abdominal ECG recordings;signal-to-noise ratio;source separation;Hilbert transforms;electrocardiography;feature extraction;independent component analysis;medical signal detection;medical signal processing;obstetrics;source separation;}
}
@conference{McDonnellAJOG2011,
  title = {{Comparison of abdominal sensors to a fetal scalp electrode for fetal ST analysis during labor}},
  author = {Caitlin McDonnell and Gari Clifford and Reza Sameni and Jay Ward and Jim Robertson and Adam Wolfberg},
  booktitle = {{American Journal of Obstetrics and Gynecology}},
  year = {2011},
  month = {January},
  organization = {{Society for Maternal-Fetal Medicine}},
  pages = {S256--S256},
  volume = {204},
  owner = {sameni},
  timestamp = {2011.02.09},
  url = {http://dx.doi.org/10.1016/j.ajog.2010.10.669}
}
@inproceedings{Moraru08,
  title = {Identification of fetal auditory evoked cortical responses using a denoising method based on periodic component analysis},
  author = {L. Moraru and R. Sameni and U. Schneider and C. Jutten and J. Haueisen and D. Hoyer},
  booktitle = {Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE 2008)},
  year = {2008},
  address = {Antwerp, Belgium},
  pages = {1390--1393},
  mounth = {23--27 November},
  url = {https://link.springer.com/chapter/10.1007/978-3-540-89208-3_329}
}
@inproceedings{Moraru2010,
  title = {Identification of fetal auditory evoked responses from biomagnetic measurements},
  author = {L. Moraru and U. Schneider and R. Sameni and D. Hoyer},
  booktitle = {Proceedings of the 44th Annual Conference of the German Society of biomedical engineering},
  year = {2010},
  address = {Rostock, Germany},
  month = {October},
  owner = {sameni},
  timestamp = {2015.01.13}
}
@inproceedings{NarimaniSameni2015,
  title = {Electrocardiogram Denoising Using H-Infinity Filters},
  author = {Narimani, H. and Sameni, R.},
  booktitle = {Electrical Engineering (ICEE), 2015 23rd Iranian Conference on},
  year = {2015},
  month = {May},
  note = {In Persian}
}
@inproceedings{RazavipourCINC2013,
  title = {{Fetal QRS Complex Detection using Semi-Blind Source Separation Framework}},
  author = {Fatemeh Razavipour and Masoumeh Haghpanahi and Reza Sameni},
  booktitle = {Proceedings of the 40th Annual International Conference on Computers in Cardiology},
  year = {2013},
  address = {Zaragoza, Spain},
  month = {September 22-25},
  pages = {181--184},
  vol = {40}
}
@inproceedings{Sameni2012,
  title = {{A Linear Kalman Notch Filter for Power-Line Interference Cancellation}},
  author = {Reza Sameni},
  booktitle = {{Proceedings of the 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP)}},
  year = {2012},
  address = {Shiraz, Iran},
  month = {2-3 May 2012},
  pages = {604--610},
  owner = {sameni},
  timestamp = {2012.10.23},
  url = {https://doi.org/10.1109/AISP.2012.6313817}
}
@conference{SameniAJOG2009,
  title = {{Accuracy of fetal heart rate acquired from sensors on the maternal abdomen compared to a fetal scalp electrode}},
  author = {Reza Sameni and Gari D. Clifford and Jay Ward and Jim Robertson and Courtenay Pettigrew and Adam J. Wolfberg},
  booktitle = {{American Journal of Obstetrics and Gynecology}},
  year = {2009},
  address = {Chicago, IL},
  month = {December},
  organization = {{Society for Maternal-Fetal Medicine}},
  pages = {S241--S241},
  volume = {201},
  owner = {sameni},
  timestamp = {2011.02.09},
  url = {http://dx.doi.org/10.1016/j.ajog.2009.10.529}
}
@inproceedings{Sameni2012b,
  author = {R. Sameni and C. Gouy-Pailler},
  booktitle = {Proc.},
  title = {{An Iterative Subspace Denoising algorithm for Removing Electrocardiogram Ocular Artifact}},
  year = {2012},
  address = {l},
  owner = {sameni},
  timestamp = {2012}
}
@inproceedings{SJS06,
  title = {{What ICA Provides for {ECG} Processing: Application to Noninvasive Fetal {ECG} Extraction}},
  author = {R. Sameni and C. Jutten and M. B. Shamsollahi},
  booktitle = {{Proc. of the International Symposium on Signal Processing and Information Technology (ISSPIT'06)}},
  year = {2006},
  address = {{Vancouver, Canada}},
  month = {August},
  pages = {656--661},
  url = {https://doi.org/10.1109/ISSPIT.2006.270882}
}
@inproceedings{SaSh03,
  title = {{Discrimination of EEG Signals during the Performance of Different Mental Tasks}},
  author = {R. Sameni and M.B Shamsollahi},
  booktitle = {Proc. of the World Congress on Medical Physics and Biomedical Engineering},
  year = {2003},
  address = {Sydney, Australia},
  month = {August 24-29},
  note = {[CD-ROM] ISBN 1877040142, Poster Paper No. 4251}
}
@inproceedings{SSJ06,
  title = {{Multi-Channel Electrocardiogram Denoising Using a Bayesian Filtering Framework}},
  author = {R. Sameni and M.B Shamsollahi and C. Jutten},
  booktitle = {Proc. of the 33$^{\text{rd}}$ Annual International Conference on Computers in Cardiology},
  year = {2006},
  address = {Valencia, Spain},
  month = {September 17-20},
  pages = {185--188},
  url = {http://cinc.mit.edu/archives/2006/},
  vol = {33}
}
@inproceedings{SSS04,
  title = {{Processing Polysomnographic Signals, using Independent Component Analysis}},
  author = {R. Sameni and M.B Shamsollahi and L. Senhadji},
  booktitle = {Proc. Of the International Conference on Biomedical Engineering (BIOMED 2004)},
  year = {2004},
  address = {Innsbruck, Austria},
  month = {February},
  pages = {193-196}
}
@inproceedings{SSJ05,
  title = {{Filtering Electrocardiogram Signals Using the Extended Kalman Filter}},
  author = {R. Sameni and M. B. Shamsollahi and C. Jutten},
  booktitle = {Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)},
  year = {2005},
  address = {Shanghai, China},
  month = {September 1-4},
  pages = {5639--5642},
  url = {https://doi.org/10.1109/IEMBS.2005.1615765}
}
@inproceedings{SSJB05,
  title = {{Filtering Noisy {ECG} Signals Using the Extended {K}alman Filter Based on a Modified Dynamic {ECG} Model}},
  author = {R. Sameni and M. B. Shamsollahi and C. Jutten and M. Babaie-Zadeh},
  booktitle = {Proceedings of the 32nd Annual International Conference on Computers in Cardiology},
  year = {2005},
  address = {Lyon, France},
  month = {September 25-28},
  pages = {1017-1020},
  vol = {32}
}
@inproceedings{SVPH06,
  title = {{Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria}},
  author = {R. Sameni and F. Vrins and F. Parmentier and C. H\'erail and V. Vigneron and M. Verleysen and C. Jutten and M.B Shamsollahi},
  booktitle = {Proc. of the 26$^{\text{th}}$ International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2006)},
  year = {2006},
  address = {CNRS, Paris, France},
  month = {July 8-13},
  pages = {97--104},
  volume = {872},
  url = {http://hdl.handle.net/2078.1/90753}
}
@inproceedings{SamieinasabSameni2015,
  title = {Fetal Phonocardiogram Extraction Using Single Channel Blind Source Separation},
  author = {Samieinasab, M. and Sameni, R.},
  booktitle = {Electrical Engineering (ICEE), 2015 23rd Iranian Conference on},
  year = {2015},
  month = {May},
  url = {https://doi.org/10.1109/IranianCEE.2015.7146186}
}
@inproceedings{Sayadi2007,
  title = {{ECG Denoising Using Parameters of ECG Dynamical Model as the States of an Extended Kalman Filter}},
  author = {Sayadi, O. and Sameni, R. and Shamsollahi, M.B.},
  booktitle = {Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE},
  year = {2007},
  month = {Aug.},
  pages = {2548--2551},
  abstract = {In this paper an efficient filtering procedure based on the extended Kalman filter (EKF) has been proposed. The method is based on a modified nonlinear dynamic model, previously introduced for the generation of synthetic ECG signals. We have suggested simple dynamics as the governing equations for the model parameters. Since we have not any observation for these new state variables, they are considered as hidden states. Quantitative evaluation of the proposed algorithm on the MIT-BIH signals shows that an average SNR improvement of 12 dB is achieved for a signal of -5 dB. The results show improved output SNRs compared to the EKF outputs in the absence of these new dynamics.},
  doi = {10.1109/IEMBS.2007.4352848},
  issn = {1557-170X},
  keywords = {Biomedical measurements;Electrocardiography;Equations;Filtering;Noise measurement;Noise reduction;Nonlinear dynamical systems;Nonlinear systems;Pollution measurement;Signal generators;Kalman filters;electrocardiography;medical signal processing;signal denoising;ECG denoising;ECG dynamical model;electrocardiogram;extended Kalman filter;hidden states;modified nonlinear dynamic model;ECG dynamical model;Extended Kalman filter;Hidden state variable;},
  url = {https://doi.org/10.1109/IEMBS.2007.4352848}
}
@inproceedings{MoodyCINC2013,
  title = {{Noninvasive Fetal ECG: The PhysioNet/Computing in Cardiology Challenge 2013}},
  author = {Ikaro Silva and Joachim Behar and Reza Sameni and Tingting Zhu and Julien Oster and Gari D. Clifford and George B. Moody},
  booktitle = {Proceedings of the 40th Annual International Conference on Computers in Cardiology},
  year = {2013},
  address = {Zaragoza, Spain},
  month = {September 22-25},
  pages = {149--152},
  vol = {40}
}
@inproceedings{Tavakoli2006,
  title = {{Audio Watermarking for Covert Communication through Telephone System}},
  author = {Tavakoli, E. and Vahdat, B.V. and Shamsollahi, M.B. and Sameni, R.},
  booktitle = {IEEE International Symposium on Signal Processing and Information Technology, 2006},
  year = {2006},
  month = {Aug.},
  pages = {955--959},
  doi = {10.1109/ISSPIT.2006.270935},
  journal = {Signal Processing and Information Technology, 2006 IEEE International Symposium on}
}
@conference{Vahabzadeh2012,
  title = {{The Notion of Cardiac Phase and its Applications in Electrophysiological Studies}},
  author = {Bahman Vahabzadeh and Reza Sameni},
  booktitle = {Biomedical Engineering (BioMed 2012)},
  year = {2012},
  address = {Innsbruck, Austria},
  month = {February 15--17},
  abstract = {In this paper the cardiac phase is calculated using different methods based on time warping theory. The estimated phase is used for calculation of the heart rate (HR) signal. The results show that the estimated HR is similar to the HR calculated by using the RR-interval sequence. Unlike the RR-interval signal which is non-uniformly sampled, the proposed method for HR calculation is continuous in time. Therefore, conventional signal processing methods can be used to study the HR signal easily and without any preprocessing techniques like resampling and interpolations used in previous method.},
  owner = {sameni},
  timestamp = {2012.07.10},
  url = {http://dx.doi.org/10.2316/P.2012.764-127}
}
@comment{{jabref-meta: databaseType:bibtex;}}
@comment{{jabref-meta: grouping:
0 AllEntriesGroup:;
1 StaticGroup:Markings\;2\;1\;\;\;\;;
2 StaticGroup:[sameni:]\;2\;1\;\;\;\;;
2 StaticGroup:sameni:6\;2\;1\;\;\;\;;
}}

This file was generated by bibtex2html 1.98.