结合颞肌肌电的虚拟家居控制系统设计与验证  

Design and verification of virtual home control system with EMG of temporal muscle

作　　者：路阳婷 柴晓珂 张志敏 刘贵彤 牛海军[1,2] 樊瑜波[1,2] LU Yangting;CHAI Xiaoke;ZHANG Zhimin;Liu Guitong;NIU Haijun;FAN Yubo(School of Biological Science and Medical Engineering,Beihang University,Beijing 100083;Beijing Advanced Innovation Center for Biomedical Engineering,Beihang University,Beijing 100083)

机构地区：[1]北京航空航天大学生物与医学工程学院,北京100083 [2]北京航空航天大学生物医学工程高精尖创新中心,北京100083

出　　处：《北京生物医学工程》2018年第4期387-391,共5页Beijing Biomedical Engineering

基　　金：国家高技术研究发展计划(2015AA042304);国家科技支撑计划(2015BAI06B02)资助

摘　　要：目的提出一种脑肌电结合的控制方式,用于对家居系统的控制,以提升控制的安全性和自主性。方法提出一种结合稳态视觉诱发电位(steady-state visual evoked potential,SSVEP)和颞肌肌电的混合脑机接口控制方式,设计并实现了一个整合5种设备的虚拟家居控制系统。其中SSVEP用于实现指令选择功能,颞肌肌电用于实现系统开关、界面切换和指令确认功能。脑电和肌电信号分别采用典型相关分析和阈值法处理后,结合系统状态共同决定系统控制指令的生成。6位受试者进行了系统验证实验,定义控制指令比和误操作率等指标以评估系统性能。结果 6位受试者均成功完成对5种家居设备的控制,控制过程中未发生误操作。设备选择/操控指令的平均指令比为106.3%。结论本文提出的脑肌电结合的控制方式可用于家居系统的控制,且能有效减少误操作的发生,提升控制的安全性。Objective To propose a method combining electroencephalogram（EEG） and electromyogram（EMG） for the control of home system to enhance the control safety.Methods A hybrid braincomputer interface control method based on steady-state visual evoked potential（SSVEP） and EMG of temporal muscle was proposed and a virtual home control system integrating five different devices was designed and implemented.SSVEP was used for target selection,and EMG of temporal muscle was used for system switch,graphical user interface switchover and target confirmation.EEG and EMG signals were processed by using canonical correlation analysis and threshold method respectively,and then the generation of system control commands was determined combining EEG and EMG recognition results and system state.Six subjects were involved in the system verification experiments.Indices including command ratio and false operation rate were defined to evaluate the performance of the system.Results All of the six subjects successfully completed the control for the five kinds of devices.No operation error occurred during the control.The average command ratio for device selection/control command was 106.3%.Conclusions This control method of combining EEG and EMG effectively reduces operation errors and enhances the control safety for the home system.

关 键 词：脑机接口 脑电 肌电 稳态视觉诱发电位 家居控制 

分 类 号：R318.04[医药卫生—生物医学工程]