标题:The Signal Processing and Identification of Upper Limb Motion Based on sEMG
作者:Li, Changsong; Zhou, Yiqi; Li, Ying
作者机构:[Li, Changsong; Zhou, Yiqi] Shandong Univ, Sch Mech Engn, Jinan, Shandong, Peoples R China.; [Li, Ying] Shandong Women Univ, Sch Informat Technol, J 更多
通讯作者:Zhou, YQ;Zhou, Yiqi
通讯作者地址:[Zhou, YQ]Shandong Univ, Sch Mech Engn, Jinan, Shandong, Peoples R China.
来源:WIRELESS PERSONAL COMMUNICATIONS
出版年:2018
卷:103
期:1
页码:887-896
DOI:10.1007/s11277-018-5485-z
关键词:Feature extraction; Motion identification; Quantitative identification; sEMG
摘要:The system principle diagram of Robot based on Surface electromyography signal (sEMG) is presented in this paper. The hardware of the control system and the mode of training and the spectacle of virtual reality are designed. The sEMG can reflect nerves and muscles' motion to a certain degree and has great practical value in clinical medical as well as in the medical rehabilitation. The flow chart of the sEMG signal processing and feature extraction methods based on the original sEMG are introduced in the paper. Fourier transform is used on the basis of stationary random signal, time-frequency analysis method are used to overcome the nonlinear characteristics of sEMG signal. The back propagation network is used to realize the type of action recognition based on sEMG. It is important to establish a quantitative relationship between the model and the joint angle sEMG signal. The research will be helpful to develop the EMG signals into the actual application of the medical robot.
收录类别:EI;SCOPUS;SCIE
最新影响因子:0.951
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041508794&doi=10.1007%2fs11277-018-5485-z&partnerID=40&md5=4c5bbf7d4f9e65aaaa4614b82ff44866
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