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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (6): 910-915    DOI: 10.1631/jzus.2007.A0910
Information Science & Engineering     
Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
WANG Gang, REN Xiao-mei, LI Lei, WANG Zhi-zhong
Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract  This study is aimed at assessing muscle fatigue during a static contraction using multifractal analysis and found that the surface electromyographic (SEMG) signals characterized multifractality during a static contraction. By applying the method of direct determination of the f(α) singularity spectrum, the area of the multifractal spectrum of the SEMG signals was computed. The results showed that the spectrum area significantly increased during muscle fatigue. Therefore the area could be used as an assessor of muscle fatigue. Compared with the median frequency (MDF)―the most popular indicator of muscle fatigue, the spectrum area presented here showed higher sensitivity during a static contraction. So the singularity spectrum area is considered to be a more effective indicator than the MDF for estimating muscle fatigue.

Key words： Birth defects      Neural tube defects (NTDs)      Disease map      Spatial analysis      Bayesian smoothing      China     
Received: 11 October 2006     
CLC:  TN911.72  
  R318.04  
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WANG Gang
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WANG Zhi-zhong
Cite this article:

WANG Gang, REN Xiao-mei, LI Lei, WANG Zhi-zhong. Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(6): 910-915.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A0910     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I6/910

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