Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review
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 sig...
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Frontiers Media S.A.
2020
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Online Access: | http://umpir.ump.edu.my/id/eprint/29157/1/Current%20status%2C%20challenges%2C%20and%20possible%20solutions%20of%20EEG.pdf http://umpir.ump.edu.my/id/eprint/29157/ https://doi.org/10.3389/fnbot.2020.00025 https://doi.org/10.3389/fnbot.2020.00025 |
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my.ump.umpir.291572021-02-15T07:35:32Z http://umpir.ump.edu.my/id/eprint/29157/ Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review Rashid, Mamunur Norizam, Sulaiman Anwar, P. P. Abdul Majeed Rabiu Muazu, Musa Ahmad Fakhri, Ab. Nasir Bari, Bifta Sama Sabira, Khatun T Technology (General) TK Electrical engineering. Electronics Nuclear engineering 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. Frontiers Media S.A. 2020-06-03 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/29157/1/Current%20status%2C%20challenges%2C%20and%20possible%20solutions%20of%20EEG.pdf Rashid, Mamunur and Norizam, Sulaiman and Anwar, P. P. Abdul Majeed and Rabiu Muazu, Musa and Ahmad Fakhri, Ab. Nasir and Bari, Bifta Sama and Sabira, Khatun (2020) Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review. Frontiers in Neurorobotics, 14 (25). pp. 1-35. ISSN 1662-5218 https://doi.org/10.3389/fnbot.2020.00025 https://doi.org/10.3389/fnbot.2020.00025 |
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T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Rashid, Mamunur Norizam, Sulaiman Anwar, P. P. Abdul Majeed Rabiu Muazu, Musa Ahmad Fakhri, Ab. Nasir Bari, Bifta Sama Sabira, Khatun Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review |
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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. |
format |
Article |
author |
Rashid, Mamunur Norizam, Sulaiman Anwar, P. P. Abdul Majeed Rabiu Muazu, Musa Ahmad Fakhri, Ab. Nasir Bari, Bifta Sama Sabira, Khatun |
author_facet |
Rashid, Mamunur Norizam, Sulaiman Anwar, P. P. Abdul Majeed Rabiu Muazu, Musa Ahmad Fakhri, Ab. Nasir Bari, Bifta Sama Sabira, Khatun |
author_sort |
Rashid, Mamunur |
title |
Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review |
title_short |
Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review |
title_full |
Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review |
title_fullStr |
Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review |
title_full_unstemmed |
Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review |
title_sort |
current status, challenges, and possible solutions of eeg-based brain-computer interface: a comprehensive review |
publisher |
Frontiers Media S.A. |
publishDate |
2020 |
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http://umpir.ump.edu.my/id/eprint/29157/1/Current%20status%2C%20challenges%2C%20and%20possible%20solutions%20of%20EEG.pdf http://umpir.ump.edu.my/id/eprint/29157/ https://doi.org/10.3389/fnbot.2020.00025 https://doi.org/10.3389/fnbot.2020.00025 |
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13.189013 |