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Computers in Biology and Medicine|August 17, 2019
Empirical mode decomposition based ECG features in classifying and tracking ventricular arrhythmiasM Hotradat, K Balasundaram, S Masse, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Wavelet-based features for characterizing ventricular arrhythmias in optimizing treatment optionsK Balasundaram, S Masse, K Nair, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Automated signal pattern detection in ECG during human ventricular arrhythmiasK Balasundaram, S Masse, K Nair, et al.
Medical & Biological Engineering & Computing|November 8, 2012
A classification scheme for ventricular arrhythmias using wavelets analysisK Balasundaram, S Masse, K Nair, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Relating spatial heterogeneities to rotor formation in studying human ventricular fibrillationJ Jeyaratnam, K Umapathy, S Masse, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Predicting refibrillation from pre-shock waveforms in optimizing cardiac resuscitationE Afatmirni, K Nanthakumar, S Masse, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
The effects of long chain polyunsaturated fatty acids on local activation properties in dogs vulnerable to atrial fibrillationR Abdulmajeed, A Ramadeen, S Masse, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Wavelet-based markers of ventricular fibrillation in optimizing human cardiac resuscitationF H Foomany, K Umapathy, L Sugavaneswaran, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Optimizing cardiac resuscitation outcomes using wavelet analysisK Umapathy, S Krishnan, S Masse, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Blind source separation in characterizing ECG pre-shock waveforms during Ventricular FibrillationM Rasooli, F H Foomany, K Balasundaram, et al.
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