A survey of methods for the construction of a Brain Computer Interface

TitreA survey of methods for the construction of a Brain Computer Interface
Type de publicationCommunication
TypeCommunication avec actes dans un congrès
Année2017
LangueAnglais
Date du colloque12-14/09/2017
Titre du colloqueSenset 2017. International Conference on Sensors, Networks, Smart and Emerging Technologies
Titre des actes ou de la revue2017 Sensors Networks Smart and Emerging Technologies (SENSET)
Pagination1-4
AuteurAbdallah, Nassib, Khawandi, Shadi, Daya, Bassam, Chauvet, Pierre
PaysLiban
EditeurIEEE
VilleBeyrouth
Mots-clésartifacts removal, Artificial Intelligence, artificial intelligence system, Automobiles, brain computer interface, brain-computer interfaces, Electroencephalography, feature extraction, medical signal processing, Pollution measurement, Principal component analysis, Signal resolution
Résumé en anglais

A brain computer interface is an artificial intelligence system that provides the brain with a way to communicate with the outside environment. This paper aims to provide guidelines for biomedical researchers by discussing each phase of the construction of a Brain Computer Interface. It explains invasive and noninvasive BCI. Then, it presents the most commons methods employed for designing a BCI and discusses the artifacts removal. Finally, this paper summarizes the advantages and disadvantages of the presented methods and discusses the future steps into this field of research.

URL de la noticehttp://okina.univ-angers.fr/publications/ua17061
DOI10.1109/SENSET.2017.8125005
Lien vers le document en ligne

https://ieeexplore.ieee.org/document/8125005/