[1] Chen Weiting, Cao Guitao, Wang Zhizhong,. Detection of an increase in EMG regularityduring fatiguing contractions [J]. Journal of Southeast University (English Edition), 2010, 26 (4): 541-545. [doi:10.3969/j.issn.1003-7985.2010.04.008]
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Detection of an increase in EMG regularityduring fatiguing contractions(
)
疲劳收缩过程中EMG信号规则度增加的检测
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 26
- Issue:
- 2010 4
- Page:
- 541-545
- Research Field:
- Biological Science and Medical Engineering
- Publishing date:
- 2010-12-30
Info
- Title:
- Detection of an increase in EMG regularityduring fatiguing contractions
- 疲劳收缩过程中EMG信号规则度增加的检测
- Author(s):
- Chen Weiting1; Cao Guitao1; Wang Zhizhong2
-
1Software Engineering Institute, East China Normal University, Shanghai 200062, China
2 Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
- Keywords:
- muscle fatigue; surface electromyography(EMG); regularity
- PACS:
- R318;TP391
- DOI:
- 10.3969/j.issn.1003-7985.2010.04.008
- Abstract:
- The changes in the evolvement patterns of surface electromyography(EMG)signals during both static and dynamic fatiguing contractions are studied. The main finding is that the EMG signal tends to be more and more regular as muscle fatigues. An increase in the summation of all the regular evolvement patterns denoted by Dreg reflects such a tendency. Compared with traditional measurements, Dreg shows less variability among subjects when characterizing a fatigue process. In addition, the calculation of Dreg in the time domain is free from the restrictions disturbing those of spectral parameters. The detection of an increase in the EMG regularity not only proposes a new and easy way to inspect changes in EMG during the fatigue process, but also provides strong supports to estimate muscle fatigue by means of nonlinear analysis methods such as entropy and complexity measures. The detection method of signal regularity can also be applied to other physiological signals.
- 研究了肌肉静态及动态收缩过程中表面EMG信号演化模式的变化, 发现了疲劳进程中肌电信号趋于规则性变化的规律, 信号的所有规则性演化模式之和(以Dreg表示)的增加反映了该规律.与传统的疲劳指标相比, Dreg在刻画不同人体的肌肉疲劳时变异性更小.此外, 基于时域的Dreg的计算可以避免传统频域指标的使用局限性.EMG信号规则度增加的发现, 不仅为检测疲劳进程中EMG信号的变化提供了一种新的简易方法, 更为以往工作中通过非线性指标(包括熵和复杂度等)来评估肌肉疲劳提供了有力的证据.介绍的信号规则度检测方法同样适用于其他生理电信号.
References:
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[7] Chen Weiting, Yu Wangxin, Cao Guitao. A new method assessing signal regularity[C]//The 6th International Conference on Fuzzy Systems and Knowledge Discovery. Tianjin, China, 2009: 563-566.
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[10] Sbriccoli P, Felici F, Rosponi A, et al. Exercise induced muscle damage and recovery assessed by means of linear and non-linear sEMG analysis and ultrasonography [J]. Journal of Electromyography and Kinesiology, 2001, 11(2): 73-83.
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Memo
- Memo:
-
Biography: Chen Weiting(1975—), female, doctor, lecturer, wtchen@sei.ecnu.edu.cn.
Foundation items: The National Basic Research Program of China(973 Program)(No.2005CB724303), the Natural Science Foundation of Shanghai(No.09ZR1409600), the Shanghai Leading Academic Discipline Project(No.B412).
Citation: Chen Weiting, Cao Guitao, Wang Zhizhong. Detection of an increase in the EMG regularity during fatiguing contractions[J].Journal of Southeast University(English Edition), 2010, 26(4):541-545.