DocumentCode :
1271412
Title :
Estimation of Muscular Fatigue Under Electromyostimulation Using CWT
Author :
Yochum, Maxime ; Bakir, T. ; Lepers, R. ; Binczak, S.
Author_Institution :
Lab. LE2I, Univ. of Burgundy, Dijon, France
Volume :
59
Issue :
12
fYear :
2012
Firstpage :
3372
Lastpage :
3378
Abstract :
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.
Keywords :
biomechanics; electromyography; fatigue; medical signal processing; robust control; signal denoising; wavelet transforms; EMG signals; M wave truncation; continuous wavelet transform; electrical activity; electrically stimulated contraction; electromyography recording; electromyostimulation; extracted parameters; muscular fatigue estimation; noise; standard fatigue indexes; Continuous wavelet transforms; Electromyography; Fatigue; Muscles; Noise measurement; Shape analysis; Electromyogram (EMG); electromyostimulation (ES); muscle fatigue; truncation; wavelet; Adult; Arm; Electric Stimulation; Electromyography; Forearm; Humans; Male; Muscle Fatigue; Wavelet Analysis;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2012.2215031
Filename :
6280638
Link To Document :
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