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López, N.M., di Sciascio, F., Soria, C.M. and Valentinuzzi, M.E. (2009) Robust EMG sensing system based on data fusion for myoelectric control of a robotic arm. BioMedical Engineering OnLine. http://www.biomedical-engineering-online.com/content/8/1/5

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  • 标题: 基于表面肌电信号的无线传输交互控制系统A sEMG-Based Wireless Interaction Control System

    作者: 彭清, 王镇, 钱冬, 王蓓

    关键字: 表面肌电信号, ZigBee无线传输, 交互控制sEMG, ZigBee, Interaction Control

    期刊名称: 《Computer Science and Application》, Vol.4 No.12, 2014-12-29

    摘要: 目的:随着人机交互技术的发展,基于生物电信号的交互系统能够带来更加自然和直接的交互方式,且无线传输是实现远程交互不可缺少的技术。本文的研究目的是通过结合无线传输技术来设计并实现基于表面肌电信号的交互控制系统。方法:首先,根据表面肌电信号的特点,设计信号采集和放大电路,采集手臂处的表面肌电信号;其次,对信号进行带通滤波预处理和加窗积分特征计算,完成对信号的二值化处理;然后,通过ZigBee无线传输模块将二值化逻辑序列传输到控制模块,进行控制指令的转换;最后,通过交互操作平台完成交互控制。结果:对4名平均年龄20岁的健康受试者进行了10次实验测试。要求受试者完成四种手势动作,并同步采集了手臂上三处表面肌电信号。通过本文所设计的交互控制方案,对四种手势动作的识别准确率接近100%,能够达到实时采集、分析、传输和控制要求。结论:本文所提出的基于表面肌电信号的无线传输交互控制系统,具有良好的实时处理和控制性能,能够为远程控制、康复医疗等多项领域的应用拓展提供一种有效可行的实现方案。Objective: With the development of human-machine interface, the biomedical signal-based inte-raction system would be more natural and direct. On the other hand, telecommunication has wide applications in various fields. The objective of this study is to realize a sEMG-based wireless inte-raction control system. Method: According to the characteristics of sEMG signal, a record and am-plifier circuit was designed. The recorded sEMG is passing through a band pass filter. The feature of integration was calculated and transited into binary logical values. The obtained binary logical values were transferred to control module by using ZigBee technique. Finally, the interaction con-trol was realized. Results: Totally 4 healthy subjects with an average age of 20 years old were par-ticipated. The subjects were asked to do four kinds of hand movements and three channels of sEMG signals were recorded. Based on the testing results, the accuracy of control command extraction based on sEMG signal analysis and ZigBee transmission was near to 100%. The presented system has the functions of real-time record, analysis, transmit and control. Conclusion: The developed sEMG-based wireless interaction control system has good performance in real-time processing, which can be usable for telecommunication and rehabilitation applications.

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