摘要
目前的商业化肌电假肢存在使用困难、训练过程长、控制不自然等问题。本文设计并实现了一种肌电假肢控制系统,该系统包括基于微处理器的肌电假肢控制器与基于计算机的多功能假肢临床训练软件,并使用模式识别分类算法判断动作类型。假肢控制器可佩带在使用者身上,有望实现多自由度肌电假肢的灵活控制。
The applications of present commercially-available myoelectric prostheses are limited due to the difficulty in use and the long training time. The existing control methods can not realize natural controls of the prostheses. In this paper, a control system of multifunctional myoelectrical prostheses which contains a myoelectric-prosthesis controller based on a micro control unit and a multifunction prosthesis clinical training software, was designed and developed using a high-performance microprocessor. The pattern recognition of the electromyogram (EMG) was employed to determine the motion classes. Since the microprocessor is wearable, the system proposed in this study could possibly achieve flexible and natural controls of multifunctional myoelectric prostheses.
出处
《集成技术》
2013年第4期14-19,共6页
Journal of Integration Technology
基金
国家自然科学基金重点项目(#61135004)
关键词
肌电信号
假肢控制
模式识别
假肢临床训练
虚拟现实
electromyogram
prosthesis control
pattern recognition
prosthesis clinical training
visual reality
