Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue

被引:34
作者
Arjunan, Sridhar P. [1 ]
Kumar, Dinesh K. [1 ]
Naik, Ganesh [2 ]
机构
[1] RMIT Univ, Sch Elect & Comp Engn, Biosignals Lab, Melbourne, Vic 3001, Australia
[2] UTS, FEIT, Sydney, NSW 2007, Australia
关键词
BICEPS-BRACHII; EMG SIGNALS; FREQUENCY; AMPLITUDE;
D O I
10.1155/2014/197960
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The relationship between force of muscle contraction and muscle fatigue with six different features of surface electromyogram (sEMG) was determined by conducting experiments on thirty-five volunteers. The participants performed isometric contractions at 50%, 75%, and 100% of their maximum voluntary contraction (MVC). Six features were considered in this study: normalised spectral index (NSM5), median frequency, root mean square, waveform length, normalised root mean square (NRMS), and increase in synchronization (IIS) index. Analysis of variance (ANOVA) and linear regression analysis were performed to determine the significance of the feature with respect to the three factors: muscle force, muscle fatigue, and subject. The results show that IIS index of sEMG had the highest correlation with muscle fatigue and the relationship was statistically significant (P < 0.01), while NSM5 associated best with level of muscle contraction (%MVC) (P < 0.01). Both of these features were not affected by the intersubject variations (P > 0.05).
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页数:6
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