• DocumentCode
    2374640
  • Title

    Quantitative estimation of muscle fatigue using surface electromyography during static muscle contraction

  • Author

    Soo, Yewguan ; Sugi, Masao ; Nishino, Masataka ; Yokoi, Hiroshi ; Arai, Tamio ; Kato, Ryu ; Nakamura, Tatsuhiro ; Ota, Jun

  • Author_Institution
    Dept. of Precision Eng., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    2975
  • Lastpage
    2978
  • Abstract
    Muscle fatigue is commonly associated with the musculoskeletal disorder problem. Previously, various techniques were proposed to index the muscle fatigue from electromyography signal. However, quantitative measurement is still difficult to achieve. This study aimed at proposing a method to estimate the degree of muscle fatigue quantitatively. A fatigue model was first constructed using handgrip dynamometer by conducting a series of static contraction tasks. Then the degree muscle fatigue can be estimated from electromyography signal with reasonable accuracy. The error of the estimated muscle fatigue was less than 10% MVC and no significant difference was found between the estimated value and the one measured using force sensor. Although the results were promising, there were still some limitations that need to be overcome in future study.
  • Keywords
    biomechanics; bone; electromyography; fatigue; force sensors; medical disorders; force sensor; handgrip dynamometer; muscle fatigue; musculoskeletal disorder; quantitative estimation; static muscle contraction; surface electromyography; Adult; Calibration; Electromyography; Hand Strength; Humans; Male; Models, Statistical; Muscle Contraction; Muscle Fatigue; Muscle Strength; Muscle Strength Dynamometer; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332521
  • Filename
    5332521