基于脑机接口的控制器  

Controller Based on Brain-Computer Interface

作　　者：郝卫东[1] 邓阳光 梁卫鸽[1] 闫伟[1] 陈志丹[1] 

机构地区：[1]桂林电子科技大学机电工程学院,桂林541004

出　　处：《计算机系统应用》2014年第3期9-15,共7页Computer Systems & Applications

基　　金：广西研究生教育创新计划(YCSZ2012064)

摘　　要：为实现大脑与设备的通讯,研究基于脑机接口的控制器.本文研究脑电信号(EEG)的特征提取,实验通过E-Prime心理学软件结合Neuroscan公司生产的64导脑电采集设备获取脑电原始信号,利用小波算法对原始脑电信号进行分析,提取感兴趣的频段小波系数作为特征;分析脑电信号的功率谱,基于Fisher准则设计分类器.本文在研究脑机接口(Brine-Computer Interface,BCI)的基础上通过想象实现了对运动的控制.以轮椅为实际控制对象,仅仅通过两个电极采集脑电信号,设计制作了控制器,理论验证实验成功的通过想象控制轮椅的四个方向的运动.本文最后还探讨了脑机接口的应用前景.Our research is based on brain-computer interface controller for the realization of the brain communicate with the device. In this paper, we study how to obtain the characteristics of the eeg signals, during the experiment, to acquire EEG signal through the E-Prime psychology software and Neuroscan company production of 64 channel EEG acquisition equipment. Analysis of the original EEG signals using wavelet algorithm, frequency wavelet coefficients as the feature extraction of interest. Analysis of EEG power spectrum, design a classifier based on Fisher criterion. Based on the study of brain computer interface （Brine-Computer Interface, BCI） basis, the movement control was achieved through the imagination. In wheelchair for the actual control object, only through the two electrode EEG signal, the controller design, the theory is validated by experimental success through the imagination of four direction control the wheelchair movement. Finally this paper also discusses the application prospect of brain-computer interface.

关 键 词：特征提取 小波 分类器 脑机接口 

分 类 号：TN911.7[电子电信—通信与信息系统]