Article(id=1242136924450791872, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136912253759885, articleNumber=null, orderNo=6, doi=10.3981/j.issn.1000-7857.2018.12.004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1525104000000, receivedDateStr=2018-05-01, revisedDate=1526918400000, revisedDateStr=2018-05-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1529561399467, onlineDateStr=2018-06-21, pubDate=1530115200000, pubDateStr=2018-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1529561399467, onlineIssueDateStr=2018-06-21, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078120575, creator=sys-migrate, updateTime=1774078120575, updator=sys-migrate, issue=Issue{id=1242136912253759885, tenantId=1146029695717560320, journalId=1146031591421210625, year='2018', volume='36', issue='12', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1530115200000', pubDateStr='2018-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078117665, creator='sys-migrate', updateTime=1774078117665, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=22, endPage=30, ext={EN=ArticleExt(id=1242136927567163820, articleId=1242136924450791872, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A review of non-invasive electroencephalogram-based brain computer interfaces, columnId=1150494642224591153, journalTitle=Science & Technology Review, columnName=Exclusive, runingTitle=null, highlight=null, articleAbstract=The brain computer interface(BCI) is a new communication and control channel between the brain and the external world that does not depend on the peripheral nerves and muscles, with a direct interaction between the brain and the external devices. Due to the advantages such as the noninvasiveness, the ease-of-use, and the low cost, the electroencephalogram(EEG) is the most popular method for current BCIs. This paper first reviews the history of the EEG-based non-invasive BCIs. Then, the focus is placed on the state-of-art of researches in three main aspects, namely the taxonomy of the current BCIs, the applications of the BCIs, and the challenges in developing the BCIs. Finally, a summary of future developments of the EEG-based BCI technology is given., authors=CHEN Xiaogang1 , WANG Yijun2 , authorsList=CHEN Xiaogang, WANG Yijun, authorCompany=1. Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China;
2. Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=gXgIEUiQrv1hJNuzSX6onA==, pdfFileSize=1953247, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242136926682161612, articleId=1242136924450791872, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于脑电的无创脑机接口研究进展, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=脑机接口在脑与外部环境之间建立一种全新的不依赖于外周神经和肌肉的交流与控制通道,从而实现脑与外部设备的直接交互。脑电因具有非侵入式、易于使用及设备价格低廉等特点而被广泛应用于脑机接口。本文回顾了基于脑电的无创脑机接口的研究历史,从脑机接口的类型、应用及面临的挑战3个方面综述了脑机接口的研究现状,并展望了脑机接口的未来发展前景。, authors=陈小刚1 , 王毅军2 , authorsList=陈小刚, 王毅军, authorCompany=1. 中国医学科学院北京协和医学院生物医学工程研究所, 天津 300192;
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科技导报
|专题论文
2018
, 36
(12) :
22
-30
基于脑电的无创脑机接口研究进展
全屏
陈小刚1 , 王毅军2
作者信息
1. 中国医学科学院北京协和医学院生物医学工程研究所, 天津 300192;
2. 中国科学院半导体研究所, 北京 100083
通讯作者:
王毅军(通信作者),研究员,研究方向为脑机接口和神经计算,电子信箱:wangyj@semi.ac.cn
作者简介:
陈小刚,助理研究员,研究方向为脑机接口,电子信箱:chenxg@bme.cams.cn
A review of non-invasive electroencephalogram-based brain computer interfaces
CHEN Xiaogang1 , WANG Yijun2
Affiliations
1. Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China;
2. Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
出版时间: 2018-06-28
doi: 10.3981/j.issn.1000-7857.2018.12.004
文章导航
脑机接口在脑与外部环境之间建立一种全新的不依赖于外周神经和肌肉的交流与控制通道,从而实现脑与外部设备的直接交互。脑电因具有非侵入式、易于使用及设备价格低廉等特点而被广泛应用于脑机接口。本文回顾了基于脑电的无创脑机接口的研究历史,从脑机接口的类型、应用及面临的挑战3个方面综述了脑机接口的研究现状,并展望了脑机接口的未来发展前景。
The brain computer interface(BCI) is a new communication and control channel between the brain and the external world that does not depend on the peripheral nerves and muscles, with a direct interaction between the brain and the external devices. Due to the advantages such as the noninvasiveness, the ease-of-use, and the low cost, the electroencephalogram(EEG) is the most popular method for current BCIs. This paper first reviews the history of the EEG-based non-invasive BCIs. Then, the focus is placed on the state-of-art of researches in three main aspects, namely the taxonomy of the current BCIs, the applications of the BCIs, and the challenges in developing the BCIs. Finally, a summary of future developments of the EEG-based BCI technology is given.
brain computer interface
/
electroencephalogram
/
no-invasive
陈小刚, 王毅军.
基于脑电的无创脑机接口研究进展.
科技导报,
2018
, 36
(12)
: 22
-30
.
DOI: 10.3981/j.issn.1000-7857.2018.12.004
CHEN Xiaogang, WANG Yijun.
A review of non-invasive electroencephalogram-based brain computer interfaces[J].
Science & Technology Review ,
2018
, 36
(12)
: 22
-30
.
DOI: 10.3981/j.issn.1000-7857.2018.12.004
2018年第36卷第12期
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文章信息
doi: 10.3981/j.issn.1000-7857.2018.12.004
接收时间:2018-05-01
首发时间:2018-06-21
出版时间:2018-06-28
收稿日期:2018-05-01
修回日期:2018-05-22
通讯作者:
王毅军(通信作者),研究员,研究方向为脑机接口和神经计算,电子信箱:wangyj@semi.ac.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2018.12.004
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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