基于脑电Alpha波的脑-机接口控制系统研究

Research on control system of brain-computer interface based on the alpha waves in EEG

设计了1种基于脑电α波的脑-机接口(Brain-Computer Interface,BCI)系统,利用睁闭眼对于α波幅值的影响,实现了对计算机屏幕4个方向目标的选择控制,并通过5名受试者实验考察了系统的速度、准确率,说明系统具有无须繁复学习与生物反馈训练的易操作性,为进一步研究开发能实时操作使用的BCI控制面板、实现系统集成和便携化提供了技术基础,具有潜在应用价值,值得进一步研究。

A system design of brain-computer interface based on the alpha waves in human electroencephalography （EEG） is presented in this paper. With the effects on the alpha wave amplitudes of human eye＇s open and close involved in, the selection control of four direction targets can be performed on a computer screen. The system speed and accuracy rate are investigated through the experiments involving 5 subjects. It is shown that the system is easy to operate and needs no complex leaming and biofeedback training. The studying results provide a good technical foundation for the development of BCI control panel and the realization of the system integration. It has the potential application for clinical engineering and is valuable for further research.