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P A Karthick

Showing results (1-10 of 18) with videos related to

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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
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
Diagnostics (Basel, Switzerland)|February 25, 2023
Automated Detection of Seizure Types from the Higher-Order Moments of Maximal Overlap Wavelet DistributionJoseph Mathew, Natarajan Sivakumaran, P A Karthick
Biomedical Sciences Instrumentation|May 22, 2015
Differentiating Muscle Fatigue and Nonfatigue Conditions Using Surface EMG Signals and Zhao-Atlas-Marks Based Time-Frequency DistributionP 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
Medical & Biological Engineering & Computing|July 3, 2025
Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocityVenugopal G, Sidharth N, P A Karthick
Studies in Health Technology and Informatics|May 27, 2021
Analysis of Frequency Bands of Uterine Electromyography Signals for the Detection of Preterm BirthVinothini Selvaraju, P A Karthick, Ramakrishnan Swaminathan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Empirical Mode Decomposition Based Measures for Investigating the Progression of Pregnancy from Uterine EMGP A Karthick, Vinothini Selvaraju, Ramakrishnan Swaminathan
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.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
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
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
Diagnostics (Basel, Switzerland)|February 25, 2023
Automated Detection of Seizure Types from the Higher-Order Moments of Maximal Overlap Wavelet DistributionJoseph Mathew, Natarajan Sivakumaran, P A Karthick
Biomedical Sciences Instrumentation|May 22, 2015
Differentiating Muscle Fatigue and Nonfatigue Conditions Using Surface EMG Signals and Zhao-Atlas-Marks Based Time-Frequency DistributionP 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
Medical & Biological Engineering & Computing|July 3, 2025
Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocityVenugopal G, Sidharth N, P A Karthick
Studies in Health Technology and Informatics|May 27, 2021
Analysis of Frequency Bands of Uterine Electromyography Signals for the Detection of Preterm BirthVinothini Selvaraju, P A Karthick, Ramakrishnan Swaminathan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Empirical Mode Decomposition Based Measures for Investigating the Progression of Pregnancy from Uterine EMGP A Karthick, Vinothini Selvaraju, Ramakrishnan Swaminathan
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.
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