基于EEG的康复机器人脑-计算机接口技术研究  

Research in brain-computer interface technology of rehabilitation robots based on EEG

作　　者：朱玉冉[1] 甄然[2] 刘红伟[1] 

机构地区：[1]河北科技大学信息科学与工程学院,河北石家庄050018 [2]河北科技大学电气信息学院,河北石家庄050018

出　　处：《河北工业科技》2009年第4期215-217,230,共4页Hebei Journal of Industrial Science and Technology

基　　金：河北省科技攻关项目(07213566)

摘　　要：脑-计算机接口(brain-computer interface,BCI)是一种新型的人机接口方式,是康复机器人关键技术之一。介绍了基于脑电信号EEG的康复机器人BCI技术,论述BCI系统结构、工作原理以及关键技术。设计了基于事件相关电位P300虚拟矩阵,通过在头皮上放置电极,采集诱发脑电信号,经放大、滤波后,依据独立分量分析(ICA)原理,应用FastICA算法对特征信号进行了提取。从仿真结果可以看出,提取信号能较好地逼近期望信号。通过判断运动或意识的类型与特征信号之间的关系,从而识别出不同的用户意图,为帮助病人建立一种新的通信、交流方式以及康复治疗等方面提供了依据。Brain-computer interface （BCI） is a new type of man-machine interface and one of the key technologies of rehabilitation robot. In this paper, the BCI system structure, working principle and the key technology were discussed based on the EEG rehabilitation robot BCI technology. The dummy matrix based on event-related potential P300 was designed. The evoked EEG was collected through placing electrodes on the scalp and then amplified and filtered. The characteristics of signals were extracted by applying independent component analysis （ICA） principles and FastlCA algorithm. The simulation result shows the signals extracted are better approaching desired signals. By judging the relationship between characteristics signal and the type of moving or sensing,different user intents are identified, thus providing a basis for helping patients establish a new mode of communication, exchange,and rehabilitation therapy.

关 键 词：康复机器人 脑-计算机接口 脑电 独立分量分析 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]