用于脑瘫儿下肢康复装置的表面肌电信号特征提取方法研究  

Feature Extraction for Surface Electromyography Signals of Children with Cerebral Palsy during Treadmill Walking

作　　者：魏鹏娜 李创[1] 唐荣年[1] 

机构地区：[1]海南大学机电工程学院,海口570228

出　　处：《生物医学工程研究》2017年第3期229-233,共5页Journal Of Biomedical Engineering Research

基　　金：国家自然科学基金资助项目(31460318)

摘　　要：采用时域、频域、时频域和熵的特征提取方法,找到适合脑瘫儿表面肌电信号的特征提取方法。通过在训练过程加一个阻力得到四个不同肌肉活性的训练阶段数据,对数据进行预处理和特征提取,然后用因子分析法对所提取的特征进行分析,实验结果显示本研究所提出的时域、时频域和熵特征部分适用于脑瘫儿,频域特征不适用于脑瘫儿。本研究结果对脑瘫儿的康复训练有很大的帮助。To obtain the representative features using time domain,frequency domain,time-frequency domain and nonlinearity analysis feature extraction methods.A force disturbance was applied to the right leg during swing phase of gait cycle while a subject walked on a treadmill.Surface electromyography signals（s EMG） from 8 leg muscles were recorded in three loading conditions,i.e.,baseline,with load,and load release.The factor analysis results showed that part of time domain,entropy and wavelet packet features were suitable for assessing s EMG signal features in children with cerebral palsy（CP）.The results may provide contributions to establish an EMG based rehabilitation system for children with CP.

关 键 词：表面肌电信号 脑瘫儿 康复 特征选择 因子分析 

分 类 号：R318[医药卫生—生物医学工程]