机械制造与自动化Issue(6)：220-222,228,4.
基于SEMG的膝关节康复动作模式识别技术研究
Study of Pattern Recognition Techniques of Knee Joint Rehabilitation Movements Based on SEMG
周楠 1滕燕1
作者信息
- 1. 南京理工大学 机械工程学院，江苏 南京210094
- 折叠
摘要
Abstract
This paper determines to use RMS,fourth-order AR model parameter for SEMG feature extraction method and proposes the formation of a new fifth-order feature vectors. After designing lower limb movement pattern and extracting eigenvalues of EMG,BP neural network classifier is designed and the three extracted feature vectors are used as the classifier input. Experimental result shows that BP neural network can be used to accurately identify the knee action,when the new input vector is entered in the classifi￣er,its training efficiency is high.关键词
膝关节康复/模式识别/AR模型参数/BP神经网络Key words
knee joint rehabilitation/pattern recognition/AR model parameter/BP neural network分类
信息技术与安全科学引用本文复制引用
周楠,滕燕..基于SEMG的膝关节康复动作模式识别技术研究[J].机械制造与自动化,2016,(6):220-222,228,4.
