握力大小与前臂肌肉表面肌电活动模式的相关性研究

目的 研究手部握力大小与前臂肌肉表面肌电信号特征的相关性.方法 9名健康被试者参加了试验,包括最大自主收缩力(maximum volunteer contraction,MVC),80% MVC及40% MVC,记录指浅屈肌和腕长伸肌的表面肌电信号,并采用均方根和小波分析方法提取其特征参数;运用SPSS软件统计以被试者自身的MVC为基准的不同握力水平的相对特征值,使不同的被试者具有可比性.结果 对于单个被试者握力水平与表面肌电活动模式存在正相关性,即握力越大则对应的表面肌电信号的特征值也越大;对于所有的被试者这种正相关性也存在.结论 握力水平与肌肉活动模式具有相关性,这提示通过表面肌电信号的特征值不但可以预测握力的大小,还可用于运动功能测试及康复的评价.

Relationship between Handgrip Forces and Surface Electromyogram Activities of Forearm Muscle

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.