[1]王斐,张育中,宁廷会,等.脑-机接口研究进展[J].智能系统学报,2011,6(3):189-199.
　WANG Fei,ZHANG Yuzhong,NING Tinghui,et al.Research progress in a braincomputer interface[J].CAAI Transactions on Intelligent Systems,2011,6(3):189-199.
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脑-机接口研究进展

《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 6 期数: 2011年第3期 页码: 189-199 栏目: 综述 出版日期: 2011-06-25
Title:
Research progress in a braincomputer interface
文章编号:
1673-4785(2011)03-0189-11
作者:
王斐1,2，张育中1，宁廷会1，闻时光1
1. 东北大学 流程工业综合自动化国家重点实验室，辽宁 沈阳 110819；
?2. 哈尔滨工业大学 机器人技术与系统国家重点实验室，黑龙江 哈尔滨 150001
Author(s):
WANG Fei1,2, ZHANG Yuzhong1, NING Tinghui1, WEN Shiguang1
1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819， China;
2. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China
关键词:
脑-机接口; 脑电信号; 预处理; 特征提取; 变换算法
Keywords:
braincomputer interface;  brain signal;  preprocessing;  feature extraction;  transformation algorithm
分类号:
TP391.4
文献标志码:
A
摘要:
作为当前神经工程领域中最活跃的研究方向之一，脑-机接口在生物医学、神经康复和智能机器人等领域具有重要的研究意义和巨大的应用潜力.近10年来，脑-机接口技术得到了长足的进步和飞速的发展，应用领域也在逐渐扩大.在已有相关工作的基础上，介绍脑-机接口系统的主要组成部分，对各组成部分常涉及到的相关基本理论和技术作了总结和介绍，主要包括脑信号获取、脑信号预处理、特征提取、变换算法等相关技术和理论，最后对脑-机接口未来的研究方向进行了展望.
Abstract:
As one of the most active research fields in neural engineering, braincomputer interface (BCI) has important research significance and great potential applications in many fields including biomedicine, neurological rehabilitation, and intelligent robotics. In the last decade, BCI has made great progress and rapid development, and its application field is also gradually expanding. In this study, based on related work, the main components consisting of the BCI system were detailed, then related basic theories and techniques involved in these components were summarized and described including brain signal acquisition, signal preprocessing, feature extraction, and transformation algorithms. Finally, an overview of the trend of future BCI development was discussed. 
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备注/Memo

收稿日期： 2010-08-03.
基金项目：国家自然科学基金资助项目（60705031）；教育部博士学科点科研基金资助项目（20070145105）；机器人技术与系统国家重点实验室开放课题基金资助项目（SKLRS2010ZD03）;中央高校基本科研业务费专项资金资助项目(N090404007).
通信作者：王斐.E-mail:wangfei@ise.neu.edu.cn.
作者简介：
王斐，男，1974年生，副教授，中国自动化学会机器人专业委员会委员，主要研究方向为人机交互、智能机器人，主持和参与国家级、省部级基金项目10余项，发表学术论文40余篇.
张育中，男，1987年生，博士研究生，主要研究方向为脑-机接口、模式识别等.
宁廷会，女，1987年生，硕士研究生，主要研究方向为时频信息处理、模式识别等.

更新日期/Last Update: 2011-07-23
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