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

Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Bifta Sama Bari, Sabira Khatun
2020 Frontiers in Neurorobotics  
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  ...  ACKNOWLEDGMENTS The authors would like to acknowledge support from the Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang, Malaysia.  ... 
doi:10.3389/fnbot.2020.00025 pmid:32581758 pmcid:PMC7283463 fatcat:jhpwp2b3hffz5mazb7y6oj3saq

Deep Learning in EEG: Advance of the Last Ten-Year Critical Period

Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li
2021 IEEE Transactions on Cognitive and Developmental Systems  
Subsequently, the applications of deep learning in EEG are reviewed by categorizing them into groups such as brain-computer interface, disease detection, and emotion recognition.  ...  We hope that this paper could serve as a summary of past work for deep learning in EEG and the beginning of further developments and achievements of EEG studies based on deep learning.  ...  They claimed that adding noise into amplitudes of power spectra was superior to that adding noise into EEG time series in terms of classification accuracy.  ... 
doi:10.1109/tcds.2021.3079712 fatcat:5rck4hvysfhe5o2tfjywytr5o4

Representation learning schemes of multichannel encephalographic signals for Brain Computer Interfaces

Κωνσταντίνος Η. Γεωργιάδης
It is the scope of this thesis to design signal analytic pipelines for EEG signals that will decode the users' intention/choice.  ...  The implementations must be characterized by swift and robust responses, characteristics of paramount importance for all BCI implementations.  ...  Ioannis Kompatsiaris for their continuous guidance and support throughout the years of my Ph.D. studies.  ... 
doi:10.26262/ fatcat:lu7nknt2qjesnaryymmd2i4kea

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number.  ...  ., +, TIM 2021 7006409 Sequence Measurement-Based Islanding Detection of DGs in Microgrid With Enhanced Power Quality.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Thirteenth Congress of the European Chemoreception Research Organisation

1999 Chemical Senses  
However, we now report that in wing cells, Ki for amiloride is an order of magnitude higher (2.9 µM) than in TRCs (0.2-0.3 µM).  ...  Response amplitudes for the control group increased significantly for all stimuli between stimulations 1 and 6.  ...  Comparisons of the SSVEP results for the gender-response groups at both concentrations indicated differences in regional brain activation related to the ability to subjectively detect the odour or not,  ... 
doi:10.1093/chemse/24.1.47 fatcat:3zup66wqjjbvhaysv6ym3gehse