• 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