
pmid: 22929366
The aim of this study is to investigate muscular fatigue and to propose a new fatigue index based on the continuous wavelet transform (CWT) which is compared to the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles [electromyogram (EMG)] acquired during an electrically stimulated contraction thanks to two modules (electromyostimulation + electromyography recording) that can analyze EMG signals in real time during electromyostimulation. The extracted parameters are compared with each other and their sensitivity to noise is studied. The effect of truncation of M waves is then investigated, enlightening the robustness of the index obtained using CWT.
Adult, Male, truncation, wavelet., Electromyography, Wavelet Analysis, Electromyogram, [SPI.TRON] Engineering Sciences [physics]/Electronics, Electric Stimulation, Forearm, wavelet, Muscle Fatigue, Arm, Humans, Electromyostimulation, Muscle fatigue
Adult, Male, truncation, wavelet., Electromyography, Wavelet Analysis, Electromyogram, [SPI.TRON] Engineering Sciences [physics]/Electronics, Electric Stimulation, Forearm, wavelet, Muscle Fatigue, Arm, Humans, Electromyostimulation, Muscle fatigue
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