摘要
利用Alpha波建立了一个脑-机接口系统,包括脑电数据采集、脑电信号分析、特征提取和分类,并进行了实时在线分析.该脑-机接口系统的工作模式为异步,测试者可以任意选择何时启动系统,并随意选择4个命令中的一个进行输出,是一种更加自然的人机交互方式.实验结果表明,该系统取得了很高的分类正确率,具有很好的实用性.
A brain-computer interface （BCI） system was built using Alpha wave, including EEG data acquisition/analysis, feature extraction and classification. The BCI system was real-time analyzed, and the results indicated that its working mode is asynchronous, and it can be started up whenever it is needed. It is a more natural human-computer interaction system, from which any one of four commands can be chosen as output. Experimental results showed that the BCI system has high classification accuracy and practicability.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第10期1377-1380,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(50435040)
关键词
脑电
脑-机接口
功率谱密度
异步通信
EEG （electroencephalogram）
brain-computer interface
power spectral density
asynchronous communication
