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http://dx.doi.org/10.9718/JBER.2011.32.4.319

Muscle Fatigue Analysis Based on Electromyography Signals for The Evaluation of Low-Level Laser Therapy  

Kim, Ji-Hyun (Department of Biomedical Engineering, College of Medical Science, Catholic University of Daegu)
Choi, Hyo-Hoon (Manufacturing Center, Samsung Electro-Mechanics)
Youn, Jong-In (Department of Biomedical Engineering, College of Medical Science, Catholic University of Daegu)
Publication Information
Journal of Biomedical Engineering Research / v.32, no.4, 2011 , pp. 319-327 More about this Journal
Abstract
Skeletal muscle fatigue is defined as a 'any reduction in the maximal capacity to generate force or power output', and is the reduction of oxygen consumption and by-product of metabolism. For the muscle fatigue therapy, low level laser has been introduced that leads the mitochondrial respiratory and attributes the muscle fatigue recovery. This study analyzed the muscle fatigue signals from electromyography(EMG) during low-level laser therapy (LLLT). Healthy subjects performed voluntary elbow flexion-extension excercise and received placebo LLLT and active LLLT using a 830 nm laser diode. Then, EMG were measured for the evaluation of muscle fatigue. The acquired EMG data were analyzed with median frequency and short time fourier transform methods. The results showed that the LLLT had a significant symptomatic relief of muscle fatigue based on the EMG frequency analysis. Therefore, the muscle fatigue analysis with EMG signals can be applied to quantitative evaluation for the monitoring of LLLT effects.
Keywords
Muscle fatigue; LLLT; EMG; Median frequency; Short time fourier transform;
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