东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (10): 1377-1380.DOI: -

• 论著 • 上一篇    下一篇

基于Alpha波的异步脑-机接口系统

赵海滨;王宏;李春胜;   

  1. 东北大学机械工程与自动化学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-10-15 发布日期:2013-06-22
  • 通讯作者: Zhao, H.-B.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50435040)

Alpha wave-based asynchronous brain-computer interface system

Zhao, Hai-Bin (1); Wang, Hong (1); Li, Chun-Sheng (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-10-15 Published:2013-06-22
  • Contact: Zhao, H.-B.
  • About author:-
  • Supported by:
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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.

关键词: 脑电, 脑-机接口, 功率谱密度, 异步通信

Abstract: 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.

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