In:
BioMed Research International, Hindawi Limited, Vol. 2014 ( 2014), p. 1-6
Abstract:
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 ).
Type of Medium:
Online Resource
ISSN:
2314-6133
,
2314-6141
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2014
detail.hit.zdb_id:
2698540-8
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