Showing results (1-10 of 455) with videos related to

Sort By:
Pageof 46
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
Analysis of biceps brachii sEMG signal using Multiscale Fuzzy Approximate EntropyM Navaneethakrishna, P A Karthick, S Ramakrishnan
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
Multiscale feature based analysis of surface EMG signals under fatigue and non-fatigue conditionsM Navaneethakrishna, S Ramakrishnan,
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Analysis of Facial Electromyography Signals Using Linear and Non-Linear Features for Human-Machine InterfaceS Jayendhra, S R Manuskandan, M Joseph, et al.
Journal of Medical Systems|November 9, 2015
Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography SignalsP A Karthick, G Venugopal, S Ramakrishnan
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
Analysis of progression of fatigue conditions in biceps brachii muscles using surface electromyography signals and complexity based featuresP A Karthick, Navaneethakrishna Makaram, S Ramakrishnan
Computer Methods and Programs in Biomedicine|December 19, 2017
Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithmsP A Karthick, Diptasree Maitra Ghosh, S Ramakrishnan
Biomedical Engineering Letters|July 1, 2024
Cyclostationary analysis of uterine EMG measurements for the prediction of preterm birthS Vinothini, N Punitha, P A Karthick, 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 11, 2021
Analysis of Heart Rate Variability in Normal and Diabetic ECG signals using Fragmentation ApproachM Navaneethakrishna, S R Manuskandan
Pageof 46