A Systematic Review of Brain-Computer Interface Based EEG
Author(s) -
Samaa Abdulwahab,
Hussain Kareem Khleaf,
Manal H. Jassim
Publication year - 2020
Publication title -
iraqi journal for electrical and electronic engineering
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.16.2.9
Subject(s) - brain–computer interface , electroencephalography , viewpoints , computer science , interface (matter) , human–computer interaction , brain activity and meditation , signal (programming language) , neuroscience , psychology , art , bubble , maximum bubble pressure method , parallel computing , visual arts , programming language
The futuristic age requires progress in handwork or even sub-machine dependency and Brain-Computer Interface (BCI) provides the necessary BCI procession. As the article suggests, it is a pathway between the signals created by a human brain thinking and the computer, which can translate the signal transmitted into action. BCI-processed brain activity is typically measured using EEG. Throughout this article, further intend to provide an available and up-to-date review of EEG-based BCI, concentrating on its technical aspects. In specific, we present several essential neuroscience backgrounds that describe well how to build an EEG-based BCI, including evaluating which signal processing, software, and hardware techniques to use. Individuals discuss Brain-Computer Interface programs, demonstrate some existing device shortcomings, and propose some eld’s viewpoints.
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