AUTHOR=Rashid Mamunur , Sulaiman Norizam , P. P. Abdul Majeed Anwar , Musa Rabiu Muazu , Ab. Nasir Ahmad Fakhri , Bari Bifta Sama , Khatun Sabira 
  
TITLE=Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
  
JOURNAL=Frontiers in Neurorobotics
  
VOLUME=Volume 14 - 2020
  
YEAR=2020
  
URL=https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2020.00025
  
DOI=10.3389/fnbot.2020.00025
  
ISSN=1662-5218
  
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 only limited to medical applications, and hence, the research in this field has gained due attention. Moreover, the significant number of publications over the past two decades, further indicates the consistent improvements, as well as 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 system is been deliberated. Secondly, a considerable number of popular BCI applications are reviewed in terms of its electrophysiological control signals, feature extraction, classification algorithms as well as the performance evaluation metrics. Finally, the challenges to the recent BCI system are discussed, and the possible solutions to mitigate the issues are recommended.