咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >EEG-Based Brain-Computer Inter... 收藏

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications

基于 EEG 的大脑计算机接口(BCI ): 察觉到技术和计算智力的信号上的最近的研究的调查来临并且他们的应用程序

作     者:Gu, Xiaotong Cao, Zehong Jolfaei, Alireza Xu, Peng Wu, Dongrui Jung, Tzyy-Ping Lin, Chin-Teng 

作者机构:Univ Tasmania Hobart Tas 7005 Australia Macquarie Univ N Ryde NSW 2109 Australia Univ Elect Sci & Technol China Chengdu 610054 Peoples R China Huazhong Univ Sci & Technol Wuhan 430074 Peoples R China Univ Calif San Diego La Jolla CA 92093 USA Univ Technol Sydney Sydney NSW 2007 Australia 

出 版 物:《IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS》 (IEEE-ACM计算生物学与生物信息学汇刊)

年 卷 期:2021年第18卷第5期

页      面:1645-1666页

核心收录:

学科分类:0710[理学-生物学] 0808[工学-电气工程] 08[工学] 0714[理学-统计学(可授理学、经济学学位)] 0701[理学-数学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:University of Tasmania Australian Research Council (ARC) [DP180100670, DP180100656] US NSF [CBET-1935860, NCS-1734883, IP-1719130, SMA-1540943] US Army Research Lab STRONG Program 

主  题:Electroencephalography Brain Deep learning Sensors Monitoring Functional magnetic resonance imaging Entertainment industry 

摘      要:Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI applications. EEG-based intelligent BCI systems can facilitate continuous monitoring of fluctuations in human cognitive states under monotonous tasks, which is both beneficial for people in need of healthcare support and general researchers in different domain areas. In this review, we survey the recent literature on EEG signal sensing technologies and computational intelligence approaches in BCI applications, compensating for the gaps in the systematic summary of the past five years. Specifically, we first review the current status of BCI and signal sensing technologies for collecting reliable EEG signals. Then, we demonstrate state-of-the-art computational intelligence techniques, including fuzzy models and transfer learning in machine learning and deep learning algorithms, to detect, monitor, and maintain human cognitive states and task performance in prevalent applications. Finally, we present a couple of innovative BCI-inspired healthcare applications and discuss future research directions in EEG-based BCI research.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分