Design and implementation of an improved BCI System based on alpha rhythm

摘要：

This paper introduces an improved BCI system based on alpha rhythm, the main composition units of the system are electrodes, acquisition circuit, online detecting algorithm and outer devices. For improving the performance of BCT systems, a new algorithms for alpha wave detection is proposed, which can reduce EEG baseline wandering and energy fluctuation efficiently and make the BCI system work more stable. Based on the BCI system, experiments of media player control are carried out among different subjects, which show that the system has an excellent performance in alpha wave detection and real-time controlling.

关键词： BCI(Brain-Computer Interface) EEG(Electroencephalogram) alpha-block frequency spectrum detection point by point Energy normalization

作者: Bing Wei Xiaopei Wu Daoxin Zhang

作者单位: The Key Laboratory of Intelligent Computing & Signal Processing,China,of Anhui University Address: Hefei,Anhui Province,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）