EEG classification using recurrent adaptive neuro-fuzzy network based on time-series prediction

• Main Authors: Komijani, H., Parsaei, M. R., Khajeh, E., Golkar, M. J., Zarrabi, H.
• Format: Article
• Published: Springer London 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/77175/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032797940&doi=10.1007%2fs00521-017-3213-3&partnerID=40&md5=d28f8c73569ea45bea35081b1020a90a

Brain–computer interface (BCI) is a system that provides a way for brain and computer to communicate with each other directly. Electroencephalogram (EEG) is an important process in a BCI that can be used to determine whether the subject is doing action and/or imagination. This paper presents a motor...