sEMG Feature Analysis on Forearm Muscle Fatigue During Isometric Contractions

In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects,and recorded the sEMG signals of the flexor ca...

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Published inTransactions of Tianjin University Vol. 20; no. 2; pp. 139 - 143
Main Author 明东 王欣 徐瑞 邱爽 赵欣 綦宏志 周鹏 张力新 万柏坤
Format Journal Article
LanguageEnglish
Published Heidelberg Tianjin University 01.04.2014
Subjects
Engineering
Humanities and Social Sciences
Mechanical Engineering
multidisciplinary
Science
信号特征
傅立叶变换
前臂
平均频率
收缩
肌肉疲劳
表面肌电图
连续小波变换
median frequency
correlation
mean frequency
root mean square
time-frequency spectrum analysis
isometric contraction
muscle fatigue
mean fre-quency
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Summary:In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects,and recorded the sEMG signals of the flexor carpi ulnaris.sEMG’s median frequency（MDF） and mean frequency（MF） were extracted by short term Fourier transform（STFT）,and the root mean square（RMS） of wavelet coefficients in the frequency band of 5—45 Hz was obtained by continuous wavelet transform（CWT）.The results demonstrate that both MDF and MF show downward trends within 1 min; however,RMS shows an upward trend within the same time.The three parameters are closely correlated with absolute values of mean correlation coefficients greater than 0.8.It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions.
Bibliography:12-1248/T
muscle fatigue； isometric contraction； time-frequency spectrum analysis； median frequency； mean frequency； root mean square； correlation
In order to detect and assess the muscle fatigue state with the surface electromyography（sEMG） characteristic parameters,this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects,and recorded the sEMG signals of the flexor carpi ulnaris.sEMG’s median frequency（MDF） and mean frequency（MF） were extracted by short term Fourier transform（STFT）,and the root mean square（RMS） of wavelet coefficients in the frequency band of 5—45 Hz was obtained by continuous wavelet transform（CWT）.The results demonstrate that both MDF and MF show downward trends within 1 min; however,RMS shows an upward trend within the same time.The three parameters are closely correlated with absolute values of mean correlation coefficients greater than 0.8.It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions.
ISSN:1006-4982
1995-8196
DOI:10.1007/s12209-014-2181-2