基于脑电alpha波的实时脑-机接口系统

Real Time Brain-Computer Interface Based on Alpha Rhythms in Electroencephalography

设计了一个基于LabVIEW平台的脑-机接口系统。该系统包括信号处理、特征提取与模式分类,实现了基于脑-机接口的实时光标移动控制。系统仅需实时采集操作者头部O1、O2导联处的脑电信号,提取其alpha波,通过线性判别分析方法判断受试者闭眼时长,利用alpha波的阻断现象输出不同控制命令,快速可靠地控制光标进行二维移动。该系统采用异步工作模式,输出控制命令仅需3.6～5.4 s,与现有的基于脑电alpha波的-机接口系统相比,具有更好的实用性。实验表明,未经先期训练的操作者均能通过-机接口系统快速地完成光标控制任务,且具有很高的识别正确率。

A Brain-computer interface system based on LabVIEW platform is developed, which includes signal processing, feature extraction and pattern classification, for real time cursor control using EEG. The system only requires two electrode O1, and O2 for recording the EEG signal on the scalp to extract the alpha rhythms. The cursor movement in two-dimensional space can be controlledrapidly and reliably by linear discriminant to judge the lasting time between the subject closing eyes and another control command sent out. The developed BCI system operates in asynchronous mode andcan output a command within 3.6～5.4 s, which is more practical than the existing alpha rhythms based BCI systems. The experimental results indicate that the subjects without pre-training can complete the task of cursor movement control accurately via the developed BCI system.