| Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions |
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| 作者姓名： | WANG Gang REN Xiao-mei LI Lei WANG Zhi-zhong |
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| 作者单位： | Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China |
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| 基金项目： | Project （No. 2005CB724303） supported by the National Basic Research Program （973） of China |
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| 摘 要： | This study is aimed at assessing muscle fatigue during a static contraction using multifractal analysis and found that the surface electromyographic （SEMG） signals characterized multiffactality during a static contraction. By applying the method of direct determination ofthef（a） 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.
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| 关 键 词： | 肌肉疲劳 评价 肌肉收缩 EMG信号 多分形分析 |
| 收稿时间： | 2006-10-11 |
| 修稿时间： | 2006-12-18 |
Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions |
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| 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,2007,8(6):910-915. |
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| Authors: | Wang Gang Ren Xiao-mei Li Lei Wang Zhi-zhong |
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| Institution: | (1) 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.
Project (No. 2005CB724303) supported by the National Basic Research Program (973) of China |
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| Keywords: | Muscle fatigue Surface electromyographic (SEMG) signals Multifractal Static contraction |
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