A dynamic and self-adaptive classification algorithm for motor imagery EEG signals

•A high accuracy motor imagery based BCI algorithm is proposed.•Spatial and spectral features of EEG signals related to left and right hand movements are extracted and classified using many algorithms.•A novel dynamic and self-adaptive algorithm (DSAA) based on the least-squares method is proposed t...

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Bibliographic Details

Published in:	Journal of neuroscience methods Vol. 327; p. 108346
Main Authors:	Belwafi, Kais, Gannouni, Sofien, Aboalsamh, Hatim, Mathkour, Hassan, Belghith, Abdelfattah
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.11.2019
Subjects:	Brain–computer interface (BCI) dynamic classification Electroencephalography (EEG) motor imagery voting technique motor imagery Electroencephalography (EEG) voting technique dynamic classification Brain–computer interface (BCI)
ISSN:	0165-0270, 1872-678X, 1872-678X
Online Access:	Get full text
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