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
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