北京生物医学工程2011，Vol.30Issue(6)：574-577,4.DOI:10.3969/j.issn.1002-3208.2011.06.05
基于肌动图与肌电图信号的假肢控制系统的研究
A Prosthesis Control System Based on Both of Mechanomyography and Electromyography
游淼 1邹国栋 2林婉华 1余龙2
作者信息
- 1. 中南大学地球科学与信息物理工程学院,长沙,410083
- 2. 中国科学院深圳先进技术研究院,广东深圳,518067
- 折叠
摘要
Abstract
Objective To improve the accuracy of classification for a prosthesis control system by using of mechanomyography(MMG) and electromyography(EMG) as prosthesis control signals. Methods A prosthesis control system based on MMG and EMG was developed by using a signal fusion method. Six channels of MMG and two channels of EMG were fused, and combined with linear discriminant analysis(LDA) algorithm based on pattern recognition, which were applied for the test of the classification precision of prosthesis control system. Six volunteers were enrolled in the test including four kinds of activities and static status through this system. The precision reached to 94.6%, which is better than the accuracy when MMG signal (88.5%) or EMG signal (90. 4% ) was adopted solo. Conclusions The system based on both of MMG and EMG signals can classify the prosthesis controlling action efficiently, and control the prosthesis independently. This prosthesis control system is expected to be applied to the disabled upper arm amputated in the near future.关键词
肌动信号/肌电信号/模式识别/假肢控制Key words
mechanomyogram/ electromyography/ pattern recognition/ prosthesis control分类
医药卫生引用本文复制引用
游淼,邹国栋,林婉华,余龙..基于肌动图与肌电图信号的假肢控制系统的研究[J].北京生物医学工程,2011,30(6):574-577,4.
