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
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;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE