A survey of methods for the construction of a Brain Computer Interface
| Titre | A survey of methods for the construction of a Brain Computer Interface |
| Type de publication | Communications avec actes |
| Année de publication | 2017 |
| Langue | Anglais |
| Titre de la Conférence/colloque | 2017 Sensors Networks Smart and Emerging Technologies (SENSET) |
| Pagination | 1 - 4 |
| jour/mois du congrès, colloque | 12/09 |
| Auteur(s) | Abdallah, N., Khawandi S., Daya B. et Chauvet P. |
| Mots-clés | artifacts 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 | 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. |
