脑接口分型系统的主动递归状态估计框架

IF 1.8 Q3 ENGINEERING, BIOMEDICAL Brain-Computer Interfaces Pub Date : 2019-10-02 DOI:10.1080/2326263x.2020.1729652
Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş
{"title":"脑接口分型系统的主动递归状态估计框架","authors":"Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş","doi":"10.1080/2326263x.2020.1729652","DOIUrl":null,"url":null,"abstract":"Typing systems driven by noninvasive electroencephalogram (EEG)-based brain–computer interfaces (BCIs) can help people with severe communication disorders (including locked-in state) communicate. T...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2019-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An active recursive state estimation framework for brain-interfaced typing systems\",\"authors\":\"Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş\",\"doi\":\"10.1080/2326263x.2020.1729652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Typing systems driven by noninvasive electroencephalogram (EEG)-based brain–computer interfaces (BCIs) can help people with severe communication disorders (including locked-in state) communicate. T...\",\"PeriodicalId\":45112,\"journal\":{\"name\":\"Brain-Computer Interfaces\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2019-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain-Computer Interfaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/2326263x.2020.1729652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain-Computer Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/2326263x.2020.1729652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 3

摘要

基于无创脑电图(EEG)的脑机接口(bci)驱动的打字系统可以帮助患有严重沟通障碍(包括闭锁状态)的人进行沟通。T…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An active recursive state estimation framework for brain-interfaced typing systems
Typing systems driven by noninvasive electroencephalogram (EEG)-based brain–computer interfaces (BCIs) can help people with severe communication disorders (including locked-in state) communicate. T...
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.00
自引率
9.50%
发文量
14
期刊最新文献
A combined EEG motor and speech imagery paradigm with automated successive halving for customizable command selection Toward methodologies for motor imagery enhancement: a tDCS-BCI study Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification Real-time feedback improves imagined 3D primitive object classification from EEG
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1