基于表面肌电信号对惯用手和非惯用手负载时的特征研究  

Study on Characteristics of Load with Habitual Hand or Non-habitual HandBased on Surface Electromyography Signal

作　　者：任丽晔[1] 李贵松 REN Liye;LI Guisong(College of Electronic Information Engineering,Changchun University,Changchun 130022,China)

机构地区：[1]长春大学电子信息工程学院,长春130022

出　　处：《长春大学学报》2023年第12期8-13,73,共7页Journal of Changchun University

基　　金：吉林省科技厅项目(20230101233JC)。

摘　　要：利用表面肌电信号研究惯用手和非惯用手在不同负载时的特征。将采集的20名受试者的原始肌电信号,依次通过预处理去噪,时域、频域、时频域的特征提取和CSP算法分析,可得出在上肢伸屈时均方根值、方差、平均绝对值都有显著差异。通过实验可从数据上直接看出惯用手和非惯用手特征的差异性,也可得出惯用手的耐力和承载力都优于非惯用手,从而为上肢康复训练设备的设计做技术支持。Surface electromyography(sEMG)is used to study the characteristics of habitual hand and non-habitual hand under different loads.The original EMG signals of 20 subjects are collected and denoised by preprocessing in turn,and feature extraction of time domain,frequency domain and time-frequency domain as well as CSP algorithm analysis are carried out.It can be concluded that there are significant differences in mean square root value,variance and average absolute value of upper limb flexion.Through the experiment,the differences between the characteristics of the habitual hand and the non-habitual hand can be directly seen from the data,and it can also be concluded that the endurance and bearing capacity of the habitual hand are better than those of the non-habitual hand,so as to provide technical support for the design of upper limb rehabilitation training equipment.

关 键 词：表面肌电信号 惯用手 特征值提取 共空间模式算法 

分 类 号：TP911[自动化与计算机技术]