R
Reza Sameni
Researcher at Emory University
Publications - 93
Citations - 3383
Reza Sameni is an academic researcher from Emory University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 23, co-authored 76 publications receiving 2782 citations. Previous affiliations of Reza Sameni include Sharif University of Technology & University of Grenoble.
Papers
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Journal ArticleDOI
A Nonlinear Bayesian Filtering Framework for ECG Denoising
TL;DR: A nonlinear Bayesian filtering framework is proposed for the filtering of single channel noisy electrocardiogram (ECG) recordings, demonstrating superior results compared with conventional ECG denoising approaches such as bandpass filtering, adaptive filtering, and waveletDenoising, over a wide range of ECG SNRs.
Journal ArticleDOI
An open access database for the evaluation of heart sound algorithms.
Chengyu Liu,David Springer,Qiao Li,Benjamin Moody,Ricardo Abad Juan,Ricardo Abad Juan,Francisco J. Chorro,Francisco Castells,José Millet Roig,Ikaro Silva,Alistair E. W. Johnson,Zeeshan Syed,Samuel Emil Schmidt,Chrysa D. Papadaniil,Leontios J. Hadjileontiadis,H. Naseri,Ali Moukadem,Alain Dieterlen,Christian Brandt,Hong Tang,Maryam Samieinasab,Mohammad Reza Samieinasab,Reza Sameni,Roger G. Mark,Gari D. Clifford,Gari D. Clifford +25 more
TL;DR: A public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016, which comprises nine different heart sound databases sourced from multiple research groups around the world is described.
Journal ArticleDOI
A Review of Fetal ECG Signal Processing; Issues and Promising Directions.
Reza Sameni,Gari D. Clifford +1 more
TL;DR: A range of promising recording and signal processing techniques for fetal ECG analysis that have been developed over the last forty years are reviewed, and both their shortcomings and advantages are discussed.
Journal ArticleDOI
Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis
TL;DR: It is shown that the application of the generalized eigenvalue decomposition is an improved extension of conventional source separation techniques, specifically customized for ECG signals.
Proceedings Article
Noninvasive fetal ECG: The PhysioNet/Computing in Cardiology Challenge 2013
Ikaro Silva,Joachim Behar,Reza Sameni,Tingting Zhu,Julien Oster,Gari D. Clifford,George B. Moody +6 more
TL;DR: The PhysioNet/CinC 2013 Challenge aimed to stimulate rapid development and improvement of software for estimating fetal heart rate, fetal interbeat intervals (FRR), and fetal QT intervals (FQT), from multichannel recordings made using electrodes placed on the mother's abdomen.