现代电子技术2018，Vol.41Issue(2)：63-67,5.DOI:10.16652/j.issn.1004-373x.2018.02.016
基于神经网络的假肢无线控制系统的设计
Design of prosthesis wireless control system based on neural network
摘要
Abstract
To improve the living standard of the disabled and promote the development of medical treatment cause,a de-sign scheme of prosthesis wireless control system based on neural network is proposed. With STM32 as the core chip of the sys-tem,BP neural network and SOFM neural network are combined for pattern recognition of electromyography(EMG)signal which are collected from four muscles of biceps,triceps,superficial flexor and extensor. Six motions of arm stretching,arm bending,wrist pronating,wrist supinating,fist clenching and hand opening can be accomplished by means of real-time control of myoelectric prostheses. The experimental results show that the overall recognition rate of the system for the six motions can reach to 97%,and the wireless real-time control pattern can help disabled patients who lose part of their limbs perform these ba-sic operations more conveniently.关键词
神经网络/肌电信号/模式识别/STM32/无线控制/肌电假肢Key words
neural network/EMG signal/pattern recognition/STM32/wireless control/myoelectric prosthesis分类
信息技术与安全科学引用本文复制引用
彭子韬,许鹏,沈晓燕,吴芳..基于神经网络的假肢无线控制系统的设计[J].现代电子技术,2018,41(2):63-67,5.基金项目
国家自然科学基金重大项目(61534003) （61534003）
国家自然科学基金面上项目(81371663) （81371663）
江苏高校品牌专业建设工程资助项目(PPZY2015B135)资助Project Supported by Major Program of National Natural Science Foundation of China(61534003),General Program of National Natural Science Foundation of China(81371663),Top-notch Academic Programs Project of Jiangsu Higher Education Institutions(PPZY2015B135) （PPZY2015B135）
