摘要
针对目前假肢手控制系统成本高、操作不灵活、实用性差等问题,设计了一种基于MYO和Android的肌电假肢手控制系统;在Android平台上,开发了一款智能终端应用,实现了对MYO臂环采集的表面肌电信号进行数据处理和模式识别,并实时控制假肢手完成5种模式;实验结果表明,系统的在线识别率可达98.2%,并可在300ms左右完成一次识别过程,满足了假肢手控制的精度和实时性要求;该系统设计成本低廉、方便携带且易于扩展,很好地满足了截肢患者对假肢手控制的需求。
For the current issue like the high-cost of electrodes which control myoelectrie prosthetic hands, poor flexibility of operating and difficulty of applicability, electromyography prosthetic hands control system based on MYO and Android is designed. On the Android platform, we developed an intelligent terminal application, realize data processing and pattern recognition to collect surface electromyogra- phy with the MYO armband, to real-time control prosthetic hand and have completed five hand motions. Experimental results show that the recognition rate of the system reaches 98.2%, and completes an identification process around 300 ms, to meet the accuracy and real- time requirements with prosthetic hand control. This system is low cost, easy to carry and easy to expand, so it is able to meet the needs of the control of prosthetic hand for amputees.
出处
《计算机测量与控制》
2017年第9期64-67,共4页
Computer Measurement &Control
基金
上海市科委科技专项项目资助(16070502900)
上海师范大学创新团队项目资助(A-7001-15-001005)
