EEG classification using recurrent adaptive neuro-fuzzy network based on time-series prediction
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer London
2017
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| Subjects: | |
| 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 |
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| Institution: | Universiti Teknologi Malaysia |