• DocumentCode
    1560103
  • Title

    EMG-based measures of fatigue during a repetitive squat exercise

  • Author

    Bonato, Paolo ; Heng, M.S.S. ; Gonzalez-Cueto, Jose ; Leardini, Alberto ; Connor, John O. ; Roy, Serge H.

  • Author_Institution
    NeuroMuscular Res. Center, Boston Univ., MA, USA
  • Volume
    20
  • Issue
    6
  • fYear
    2001
  • Firstpage
    133
  • Lastpage
    143
  • Abstract
    We have demonstrated a technique to calculate the EMG instantaneous median frequency to assess muscle fatigue during a dynamic exercise commonly prescribed in patients with ACL deficiency. We used Cohen-Posch time-frequency representations to improve upon the variability of the instantaneous median frequency estimates derived using Cohen Class transformations. The technique was applied to surface EMG data recorded from the quadriceps and hamstring muscles of a control subject and a patient with ACL deficiency during a repetitive squat exercise. Instantaneous median frequency values were derived for the knee-extension phases of the exercise. Ensemble average and standard deviation of the instantaneous median frequency were computed for the portion of the cycle associated with the lowest variability of the mechanics.
  • Keywords
    biomechanics; electromyography; medical signal processing; patient rehabilitation; spectral analysis; time-frequency analysis; Cohen Class transformations; EMG instantaneous median frequency; anterior cruciate ligament deficiency; compensatory muscle function; dynamic exercise; muscle fatigue; rehabilitation exercise procedures; repetitive squat exercise; surface EMG data; time-frequency representations; Back; Electromyography; Fatigue; Frequency estimation; Muscles; Orthopedic surgery; Pain; Spectrogram; Testing; Time frequency analysis; Algorithms; Anterior Cruciate Ligament; Computers; Electromyography; Exercise Test; Exertion; Humans; Imaging, Three-Dimensional; Knee; Knee Joint; Male; Movement; Muscle Fatigue; Muscle, Skeletal; Posture; Range of Motion, Articular; Signal Processing, Computer-Assisted; Skin; Weight-Bearing;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.982285
  • Filename
    982285