가중 누적 정규화 매개변수를 이용한 표면근전도 신호의 근피로도 정도 구별

초록

This paper presents a trial to discriminate muscle fatigue level based on surface electromyogram signals during sustained isometric %MVC (maximum voluntary contraction). Surface EMG signals(a total of 198 signals) were recorded in biceps brachii muscle with isometric 20% and 80% MVC contractions from eleven subjects. Six new weighted-cumulated-normalized parameters, WC (weightedcumulated-normalized) MNF (mean frequency), WC MDF(median frequency), WC SMR(spectral moment ratio), WC TUF(turn frequency), WC SPF(spike frequency) and WC ZCF(zero-crossing frequency) were investigated in terms of both robustness and sensitivity for muscle fatigue estimation of the SEMG signals. From the investigation, the best parameter was selected and used to discriminate muscle fatigue level quantitatively. Results of this study suggest that WCMDF is most reliable parameter for muscle fatigue estimation and the trail for discriminating muscle fatigue level with the WCMDF parameter shows good performance for all the 11 subjects.

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