• DocumentCode
    27617
  • Title

    Improved algorithm of muscle fatigue detection using linear regression analysis

  • Author

    Hu, W.W. ; Huang, Y.C. ; Li, C.P.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
  • Volume
    49
  • Issue
    2
  • fYear
    2013
  • fDate
    January 17 2013
  • Firstpage
    89
  • Lastpage
    91
  • Abstract
    Conventional linear regression analysis methods used to measure muscle fatigue based on mean power frequency (MPF) can yield results that are dependent on the epoch of each MPF value. An improved algorithm containing two window segmenting methods, overlapped and non-overlapped schemes, is provided to investigate the effect of window length on linear regression analysis during sustained isometric constant force muscle contraction. The minimal length of each segment can be determined by making the slope sign changes to be zero. In conclusion, the minimal length is independent of the epoch of each MPF value.
  • Keywords
    biomechanics; biomedical measurement; muscle; regression analysis; MPF value; linear regression analysis; mean power frequency; muscle fatigue detection algorithm; muscle fatigue measurement; nonoverlapped scheme; overlapped scheme; slope sign changes; sustained isometric constant force muscle contraction; window segmenting methods;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2012.2316
  • Filename
    6420069