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. (Published)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Brain-computer interface (BCI); Electroencephalogram (EEG); Machine learning; Classification; Feature extraction |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 15 Feb 2021 07:35 |
| Last Modified: | 15 Feb 2021 07:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/29157 |
| Download Statistic: | View Download Statistics |
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