基于脑电Alpha波的脑-机接口控制实验  

Remote Control Experiments of Brain-Computer Interface Based on Alpha Waves in Electroencephalography

作　　者：万柏坤[1] 綦宏志[1] 赵丽[2] 陈滨津[1] 毕卡诗[1] 陈骞[1] 

机构地区：[1]天津大学精密仪器与光电子工程学院,天津300072 [2]天津工程师范学院自动化系,天津300222

出　　处：《天津大学学报》2006年第8期978-984,共7页Journal of Tianjin University(Science and Technology)

基　　金：国家自然科学基金(60471028);天津市自然科学基金(993607511);天津市重点学科建设基金(津教委高[2000]-31);劳动和社会保障部科技项目(L132005-07).

摘　　要：对脑电alpha波阻断现象的识别提取与家用电器遥控装置的结合进行了研究,以探索实时脑机接口(brain-computer interface,BCI)系统的可行性．对5～12名受试者进行睁闭眼实验并记录其动态脑电数据,提取al- pha波阻断现象发生过程的关键参数．在实时操作平台上对受试者进行4组遥控器按键操作的组合实验,以考察系统的响应速度与指令传递的准确率．总结出了Alpha波阻断现象对应的阈值电压经验计算公式,并建立了以最大噪声背景电平作为甄别开关动作真伪的判据原则．结果显示该系统具有较高的控制成功率和稳定性,表明实时脑机接口系统具有潜在的临床应用价值与研究前景．To investigate feasibility of on-line brain-computer interface （BCI） system, the combination of electroencephalography （EEG） alpha-block phenomenon with TV remote-control equipment was studied. Eyes opening-closure experiment was conducted with 5-12 subjects, and their ongoing EEG signals were recorded and analyzed to extract critical parameters of alpha-block occurrence. Moreover, to evaluate response time and accuracy of the system, 4 sets of TV remote-control experiments were conducted on the on-line control panel. Empirical formula of switch threshold voltage corresponding to alpha-block was summarized and decision rule of positive or negative switch command based on maximum noise background was proposed. Results show that this system performs robustly with acceptable accuracy, indicating promising research prospect and application potentials for clinic engineering of the on-line brain-interface system based on alpha-block phenomenon.

关 键 词：脑-机接口 脑电图 alpha(α)波阻断 遥控 

分 类 号：R318[医药卫生—生物医学工程]