• DocumentCode
    2097233
  • 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
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    3568
  • Lastpage
    3571
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346737
  • Filename
    6346737