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CLC number: TN911.72; R318.04

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Received: 2006-10-11

Revision Accepted: 2006-12-18

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.6 P.910-915


Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions

Author(s):  WANG Gang, REN Xiao-mei, LI Lei, WANG Zhi-zhong

Affiliation(s):  Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   wgnick@gmail.com, zzwang@sjtu.edu.cn

Key Words:  Muscle fatigue, Surface electromyographic (SEMG) signals, Multifractal, Static contraction

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

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journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
%A WANG Gang
%A REN Xiao-mei
%A LI Lei
%A WANG Zhi-zhong
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A0910

T1 - Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
A1 - WANG Gang
A1 - REN Xiao-mei
A1 - LI Lei
A1 - WANG Zhi-zhong
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 6
SP - 910
EP - 915
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A0910

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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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