• DocumentCode
    2389382
  • Title

    Evaluation of frequency band technique in estimating muscle fatigue during dynamic contraction task

  • Author

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

  • Author_Institution
    Dept. of Precision Eng., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    933
  • Lastpage
    938
  • Abstract
    Long-time exposure to repetitive or monotonous work is associated with increased risk for musculoskeletal disorders that are due to muscle fatigue. Previously, researchers reported that muscle fatigue can be estimated using a low-frequency band of an SEMG signal. However, these studies were performed exclusively during static contraction tasks. The objective of the present study was to evaluate and determine the frequency range for a low-frequency band. In addition, the performance during dynamic contraction tasks was analyzed. A group of healthy university students (8 males) was recruited, and endurance handgrip tasks were conducted. SEMG signals were captured from the forearm muscle. The frequency range for the low-frequency band was redefined as 5 - 40 Hz. The results from a dynamic contraction task indicated that a low-frequency band is a reliable method for indexing muscle fatigue from SEMG signals.
  • Keywords
    biomechanics; biomedical measurement; electromyography; fatigue; medical disorders; SEMG signal measurement; dynamic contraction task; endurance handgrip task; forearm muscle; frequency 5 Hz to 40 Hz; frequency band technique evaluation; muscle fatigue estimation; musculoskeletal disorder; static contraction task; Electromyography; Fatigue; Frequency estimation; Life estimation; Muscles; Musculoskeletal system; Needles; Performance analysis; Robotics and automation; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152845
  • Filename
    5152845