华中科技大学学报（自然科学版）2011，Vol.39Issue(4)：60-64,5.
基于运动想象脑电的在线脑机接口实验
Experimental research on online brain-computer interface based on motor imagery EEG
摘要
Abstract
According to research and application of brain-computer interface (BCI) technology, an online robot control system based on motor imagery electroencephalogram (EEG) was realized, which consists of universal serial bus (USB) EEG amplifier, the open interface EEG acquisition and experimental platform,feature extraction algorithm based on discrete wavelet transform (DWT) and autoregressive model (AR) coefficient, robot control circuit, and robot.80 online experiments were conducted on 20 subjects on this system respectively, and separating capacity of three different EEG signals generated from hand movement imagery was compared and analyzed.Furthermore, the average accuracy of controlling the machine hand reached 85 ％, 88 ％, and 90 ％, respectively in these three cases.As a result, a new idea is provided for realizing the online robot control system based on EEG and the improvement of recognition rate which brings the convenience for the experimental research and practical application of online BCI technology.关键词
机器人/人机交互/小波变换/特征提取/运动想象/脑机接口Key words
robots/ human computer interaction/ discrete wavelet transforms/ feature extraction/motor imagery/ brain-computer interface分类
医药卫生引用本文复制引用
徐宝国,宋爱国,杨仁桓..基于运动想象脑电的在线脑机接口实验[J].华中科技大学学报（自然科学版）,2011,39(4):60-64,5.基金项目
国家高技术研究发展计划资助项目(2009AA01Z311,2008AA040202) （2009AA01Z311,2008AA040202）
国家自然科学基金资助项目 (60775057,61075068) （60775057,61075068）
中国博士后科学基金资助项目(20100481090) （20100481090）
江苏省博士后基金资助项目(1002014B) （1002014B）
江苏省自然科学基金重点资助项目(BK2010063). （BK2010063）
