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 :华东理工大学信息科学与工程学院自动化系,上海;
关键词: 表面肌电信号; ZigBee无线传输; 交互控制; sEMG; ZigBee; Interaction Control
摘要:Abstract: 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.
文章引用: 彭 清 , 王 镇 , 钱 冬 , 王 蓓 (2014) 基于表面肌电信号的无线传输交互控制系统。 计算机科学与应用, 4, 351-358. doi: 10.12677/CSA.2014.412047
参考文献
[1] http://zigbee.org/About/AboutTechnology/ZigBeeTechnology.aspx
[2] 张静 (2009) 基于ZigBee技术的火灾自动报警系统. 山西财经大学学报, S2, 224-225.
[3] 钟依平 (2013) 基于ZigBee无线技术的智能家居方案. 中国公共安全, 14, 134-138.
[4] 唐惠玲, 刘汉瑞, 何圣华 (2013) 基于ZigBee技术的智能照明控制系统设计. 自动化与信息工程, 6, 40-44.
[5] 李静, 赵丽, 任淑艳等 (2011) sEMG识别控制系统在虚拟仪器平台上的实现. 机床与液压, 13, 72-74.
[6] 雷敏 (2001) 肌电假肢控制中的表面肌电信号的研究进展与展望. 中国医疗器械杂志, 3, 156-160.
[7] Wheeler, K.R. and Jorgensen, C.C. (2004) Gestures as input: Neuroelectric joysticks and keyboards. IEEE Pervasive Computing, 2, 57-61.
[8] Wheeler, K.R., Chang, M.H. and Knuth, K.H. (2006) Gesture-based control and EMG decomposition. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 4, 503-514.
[9] 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
[10] Ha, K.H., Varol, H.A. and Goldfarb, M. (2011) Volitional control of a prosthetic knee using surface electromyography. IEEE Transactions on Biomedical Engineering, 1, 144-151.