Title :
Truncation effects on muscular fatigue indexes based on M waves analysis
Author :
Yochum, Maxime ; Bakir, T. ; Lepers, R. ; Binczak, S.
Author_Institution :
Lab. LE2I, Univ. de Bourgogne, Dijon, France
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
In this paper, we investigate muscular fatigue. We propose a new fatigue index based on the continuous wavelet transform (CWT) and compare it with the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction (ES). The stimulator and electromyogram system, which were presented in a previous work, allows real-time analysis. The extracted fatigue parameters are compared between 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 :
electromyography; fatigue; medical signal processing; M wave analysis; continuous wavelet transform; electrically stimulated contraction; electromyogram system; fatigue parameter; muscle electrical activity; muscular fatigue; stimulator; truncation effect; Continuous wavelet transforms; Electrodes; Electromyography; Fatigue; Indexes; Muscles; Noise; Electromyography; Humans; Muscle Fatigue;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346737