Estimation of muscle fatigue by ratio of mean frequency to average rectified value from surface electromyography

A new method to estimate muscle fatigue quantitatively from surface electromyography (EMG) is proposed. The ratio of mean frequency (MNF) to average rectified value (ARV) is used as the index of muscle fatigue, and muscle fatigue is detected when MNF/ARV falls below a pre-determined or pre-calculate...

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Bibliographic Details
Published in2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2016; pp. 5303 - 5306
Main Authors Fernando, Jeffry Bonar, Yoshioka, Mototaka, Ozawa, Jun
Format Conference Proceeding Journal Article
LanguageEnglish
Japanese
Published United States IEEE 01.08.2016
Subjects
Correlation coefficient
Electromyography
Electromyography - methods
Estimation
Fatigue
Frequency estimation
Humans
Indexes
Muscle Fatigue - physiology
Muscle, Skeletal - physiology
Muscles
Signal Processing, Computer-Assisted
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Summary:A new method to estimate muscle fatigue quantitatively from surface electromyography (EMG) is proposed. The ratio of mean frequency (MNF) to average rectified value (ARV) is used as the index of muscle fatigue, and muscle fatigue is detected when MNF/ARV falls below a pre-determined or pre-calculated baseline. MNF/ARV gives larger distinction between fatigued muscle and non-fatigued muscle. Experiment results show the effectiveness of our method in estimating muscle fatigue more correctly compared to conventional methods. An early evaluation based on the initial value of MNF/ARV and the subjective time when the subjects start feeling the fatigue also indicates the possibility of calculating baseline from the initial value of MNF/ARV.
ISSN:1557-170X
DOI:10.1109/EMBC.2016.7591924