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脑控:基于脑-机接口的人机融合控制
  • ISSN号：0254-4156
  • 期刊名称：自动化学报
  • 时间：2013.3.3
  • 页码：208-221
  • 分类：TP[自动化与计算机技术]
  • 作者机构：[1]华东理工大学信息科学与工程学院化工过程先进控制和优化技术教育部重点实验室,上海200237
  • 相关基金：国家自然科学基金（61074113,60674089,60543005,61203127）; 中央高校基本科研业务费专项资金（WH1114038）资助
  • 相关项目：基于脑机接口的智能控制系统研究
作者： 王行愚|金晶|张宇|王蓓|
关键词： 脑控, 脑-机接口, 人机融合控制, 脑电信号, Brain control, brain-computer interface （BCI）, human-computer integration control, electroencephalogram（EEG）
中文摘要：

近年来,一类被称之为脑控的新型控制系统发展迅速,这是一种基于脑-机接口（Brain-computer interface,BCI）的人机融合控制系统,也是一种基于人的意念和思维的控制系统.脑控系统已被成功应用于残疾人的生活辅助、中风病人和损伤肢体的康复训练、操作员状态的实时监控、游戏娱乐和智能家居等广泛的领域.本文在简要介绍了脑控的研究背景、基本原理、系统结构和发展概况的基础上,着重对脑电信号（Electroencephalogram,EEG）模式、控制信号转换算法和应用系统研究等主要问题的研究现状,进行了较为详细的论述和分析,并探讨了进一步研究的方向和思路.最后对脑控的未来发展方向和应用前景进行了分析和展望.

英文摘要：

Recently, a new system called brain control system has been developed rapidly. Brain control system is a human-computer integration control system based on brain-computer interface （BCI）, which relies on human＇s ideas and thinking. Brain control system has been successfully applied in wide fields, assisting disabled patients daily life, training patients with stroke or limb injury, monitoring the status of human operator, as well as entertainment and smart house etc. In this paper, the background~ basic principle, system structure and developments are firstly introduced briefly. The current research status focusing on the problems of electroencephalogram （EEG） signal pattern, control signal transfer algorithm and system application is summarized and analyzed in detail. The further research direction and thoughts are discussed. Finally, the future development of brain control is analyzed and prospects are given.

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期刊信息
  • 《自动化学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国自动化学会 中国科学院自动化研究所
  • 主编：王飞跃
  • 地址：北京东黄城根北街16号
  • 邮编：100717
  • 邮箱：aas@ia.ac.cn
  • 电话：010-64019820
  • 国际标准刊号：ISSN：0254-4156
  • 国内统一刊号：ISSN：11-2109/TP
  • 邮发代号:2-180
  • 获奖情况:
  • 1997年获全国优秀期刊奖,1985、1990、1996、2000年获中国科学院优秀期刊二等奖,2002年获国家期刊奖
  • 国内外数据库收录:
  • 美国数学评论（网络版）,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:27550