Relationship between Handgrip Forces and Surface Electromyogram Activities of Forearm Muscle
- VernacularTitle:握力大小与前臂肌肉表面肌电活动模式的相关性研究
- Author:
Wensheng HOU
;
Rong XU
;
Xiaolin ZHENG
;
Li MA
- Publication Type:Journal Article
- Keywords:
sEMG;
grip force;
muscle activity;
root mean square;
wavelet transform
- From:Space Medicine & Medical Engineering
2006;0(04):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the relationship between handgrip level and characteristics of surface electromyogram(sEMG)signal from forearm muscles.Methods Nine healthy volunteers were asked to do a specific grip test with three force levels of maximum volunteer contraction(MVC),80% MVC and 40% MVC.sEMG signal was recorded from flex digitorum superficial(FDS)and extensor carpi radialis longus(ECRL)simultaneously.The amplitude characteristics of sEMG signal were calculated by the means of root mean square(RMS)and wavelet analysis.Furthermore,to compare the relationship of sEMG and force level between different participants,SPSS was applied to analyze the relative value that was defined as the ratio between sEMG characteristics of MVC condition and that of different grip levels.Results There existed positive correlation between grip level and sEMG activity,stronger grip corresponded the greater sEMG characteristics for every participant,and this correlation revealed significant coherence between different volunteers.Conclusion There is significant correlation between grip force and forearm muscle activities represented as sEMG characteristics.The result suggests that sEMG can be used to predict grip force noninvasively for measuring motor function and assessing the motor function rehabilitation.
