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首页> 外文会议>BMEI 2012;International Conference on Biomedical Engineering and Informatics >Biomechanics: Surface electromyography prosthesis control
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Biomechanics: Surface electromyography prosthesis control

机译：生物力学：表面肌电假体控制

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摘要

This paper provides a method to control a robotic arm by analyzing Electromyogram (EMG) collected from surface of the forearm. The electrodes are strategically placed on top of a particular muscle to harvest its myoelectric signals generated by physiological variations associated with muscular activities such as contraction and retraction. Since the movements of other muscles detectable under the electrodes are electrically superimposed, the main strategy in controlling motor units is to isolate the desired signals by filtering, sampling, and signal processing. The prototype design, incorporated into Field Programmable Gate Array (FPGA), is a low-cost and adaptable system that could potentially be available to any subject with a very minimal learning curve. The system yields quick responses and is scalable and capable of being a valuable tool for biomedical research and development.
机译：本文提供了一种通过分析从前臂表面收集的肌电图（EMG）来控制机械臂的方法。电极策略性地放置在特定肌肉的顶部，以收集由与肌肉活动（例如收缩和收缩）相关的生理变化产生的肌电信号。由于在电极下可检测到的其他肌肉的运动是电叠加的，因此控制运动单元的主要策略是通过滤波，采样和信号处理来隔离所需的信号。集成到现场可编程门阵列（FPGA）中的原型设计是一种低成本，适应性强的系统，对于学习难度很小的任何对象，都可以使用。该系统反应迅速，具有可扩展性，能够成为生物医学研究和开发的宝贵工具。

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