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

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...

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Bibliographic Details
Published in:	IEEE/ACM transactions on computational biology and bioinformatics Vol. 18; no. 5; pp. 1645 - 1666
Main Authors:	Gu, Xiaotong, Cao, Zehong, Jolfaei, Alireza, Xu, Peng, Wu, Dongrui, Jung, Tzyy-Ping, Lin, Chin-Teng
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Artificial intelligence Brain Brain research Brain-Computer Interfaces Cognitive ability Computational neuroscience Deep learning EEG Electroencephalography Entertainment industry Epilepsy - diagnosis Epilepsy - physiopathology Functional magnetic resonance imaging Health care Human-computer interface Humans Intelligence Interfaces Learning algorithms Machine Learning Monitoring Polls & surveys Sensors Signal Processing, Computer-Assisted Transfer learning
ISSN:	1545-5963, 1557-9964, 1557-9964
Online Access:	Get full text
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