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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Vydané v:	Journal of neuroscience methods Ročník 327; s. 108346
Hlavní autori:	Belwafi, Kais, Gannouni, Sofien, Aboalsamh, Hatim, Mathkour, Hassan, Belghith, Abdelfattah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.11.2019
Predmet:	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
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