Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review

被引:226
作者
Rashid, Mamunur [1 ]
Sulaiman, Norizam [1 ]
Majeed, Anwar P. P. Abdul [2 ]
Musa, Rabiu Muazu [3 ]
Ab Nasir, Ahmad Fakhri [2 ]
Bari, Bifta Sama [1 ]
Khatun, Sabira [1 ]
机构
[1] Univ Malaysia Pahang, Fac Elect & Elect Engn Technol, Pekan, Malaysia
[2] Univ Malaysia Pahang, Fac Mfg & Mechatron Engn Technol, Innovat Mfg Mechatron & Sports Lab, Pekan, Malaysia
[3] Univ Malaysia Terengganu, Ctr Fundamental & Continuing Educ, Kuala Nerus, Malaysia
来源
FRONTIERS IN NEUROROBOTICS | 2020年 / 14卷 / 14期
关键词
brain-computer interface (BCI); electroencephalogram (EEG); machine learning; classification; feature extraction; SSVEP-BASED BCI; MOTOR IMAGERY CLASSIFICATION; CONVOLUTIONAL NEURAL-NETWORK; REMOVE MUSCLE ARTIFACTS; SUPPORT VECTOR MACHINES; HIDDEN MARKOV-MODELS; LOG ENERGY ENTROPY; FEATURE-EXTRACTION; REAL-TIME; NEUROPHYSIOLOGICAL PROTOCOL;
D O I
10.3389/fnbot.2020.00025
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices through the utilization of brain waves. It is worth noting that the application of BCI is not limited to medical applications, and hence, the research in this field has gained due attention. Moreover, the significant number of related publications over the past two decades further indicates the consistent improvements and breakthroughs that have been made in this particular field. Nonetheless, it is also worth mentioning that with these improvements, new challenges are constantly discovered. This article provides a comprehensive review of the state-of-the-art of a complete BCI system. First, a brief overview of electroencephalogram (EEG)-based BCI systems is given. Secondly, a considerable number of popular BCI applications are reviewed in terms of electrophysiological control signals, feature extraction, classification algorithms, and performance evaluation metrics. Finally, the challenges to the recent BCI systems are discussed, and possible solutions to mitigate the issues are recommended.
引用
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页数:35
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