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K Umapathy

Showing results (1-10 of 23) with videos related to

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Medical & Biological Engineering & Computing|November 1, 2005
Feature analysis of pathological speech signals using local discriminant bases techniqueK Umapathy, S Krishnan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Discriminative sparse coding of ECG during ventricular arrhythmias using LC-K-SVD approachI Kalaji, K Balasundaram, K Umapathy
Journal of Neural Engineering|June 27, 2012
Ambiguity domain-based identification of altered gait pattern in ALS disorderL Sugavaneswaran, K Umapathy, S Krishnan
Physiological Measurement|May 31, 2013
A flexible approach for simulating physiological signalsM Marsousi, J Alirezaie, K Umapathy
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.
Gait & Posture|February 10, 2015
Wavelet-based characterization of gait signal for neurological abnormalitiesE Baratin, L Sugavaneswaran, K Umapathy, et al.
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|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|January 19, 2012
Wavelet-based features for characterizing ventricular arrhythmias in optimizing treatment optionsK Balasundaram, S Masse, K Nair, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Medical & Biological Engineering & Computing|November 1, 2005
Feature analysis of pathological speech signals using local discriminant bases techniqueK Umapathy, S Krishnan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Discriminative sparse coding of ECG during ventricular arrhythmias using LC-K-SVD approachI Kalaji, K Balasundaram, K Umapathy
Journal of Neural Engineering|June 27, 2012
Ambiguity domain-based identification of altered gait pattern in ALS disorderL Sugavaneswaran, K Umapathy, S Krishnan
Physiological Measurement|May 31, 2013
A flexible approach for simulating physiological signalsM Marsousi, J Alirezaie, K Umapathy
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.
Gait & Posture|February 10, 2015
Wavelet-based characterization of gait signal for neurological abnormalitiesE Baratin, L Sugavaneswaran, K Umapathy, et al.
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|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|January 19, 2012
Wavelet-based features for characterizing ventricular arrhythmias in optimizing treatment optionsK Balasundaram, S Masse, K Nair, et al.
Pageof 3