• DocumentCode
    250372
  • Title

    Analysis of mechanomyogram signals for evaluation of muscle fatigue

  • Author

    Okkesim, Sukru ; Coskun, Kezban

  • Author_Institution
    Biyomedikal Muhendisligi Enstitusu, Fatih Univ., Istanbul, Turkey
  • fYear
    2014
  • fDate
    16-17 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Muscle Fatigue is the reduction of force generating capacity during muscle contraction. Muscle fatigue is one of the risk factor for musculoskeletal problems, and as a risk factor; it needs to rating of muscle fatigue quantitatively in the field of ergonomics and physiology. However muscle fatigue is not a quantitative value. Therefore, researchers focus on several measurable parameters which can be used to analyze the muscle fatigue such as, pH, blood oxygen and lactate level. One of the signal which can be recorded for analyzing of muscle fatigue quantitatively is mechanomyography (MMG). The aim of this study is to analyze the muscle fatigue during isometric contractions using MMG. MMG signals were recorded from biceps brachii and triceps brachii muscles of six (3 Female, 3 Male) voluntary subject. For feature extraction purposes, were computed root mean square (RMS) value in time domain, mean frequency (MNF) and median frequency (MDF) in frequency domain. The results showed that muscle fatigue can be evaluated from MMG signals.
  • Keywords
    acoustic signal processing; bioacoustics; blood; feature extraction; mean square error methods; medical signal processing; muscle; pH; time-frequency analysis; MMG signals; biceps muscles; blood oxygen; computed root mean square; ergonomics; feature extraction purposes; force generating capacity; frequency domain; isometric contractions; lactate level; mean frequency; measurable parameters; mechanomyogram signal analysis; median frequency; muscle contraction; muscle fatigue evaluation; musculoskeletal problems; pH; physiology; quantitative value; risk factor; time domain; triceps brachii muscles; Biomedical monitoring; Electromyography; Fatigue; Muscles; Neurophysiology; Time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Meeting (BIYOMUT), 2014 18th National
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/BIYOMUT.2014.7026363
  • Filename
    7026363