SEMG feature analysis on forearm muscle fatigue during isometric contractions

被引:0
作者
Ming D. [1 ]
Wang X. [1 ]
Xu R. [1 ]
Qiu S. [1 ]
Zhao X. [1 ]
Qi H. [1 ]
Zhou P. [1 ]
Zhang L. [1 ]
Wan B. [1 ]
机构
[1] Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University
基金
中国国家自然科学基金;
关键词
correlation; isometric contraction; mean frequency; median frequency; muscle fatigue; root mean square; time-frequency spectrum analysis;
D O I
10.1007/s12209-014-2181-2
中图分类号
学科分类号
摘要
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. © 2014 Tianjin University and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:139 / 143
页数:4
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