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A review of classification algorithms for EEG-based brain–computer interfaces

Fabien Lotte 1 Marco Congedo 2 Anatole Lécuyer 1 Fabrice Lamarche 1 Bruno Arnaldi 1
1 BUNRAKU - Perception, decision and action of real and virtual humans in virtual environments and impact on real environments
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : In this paper we review classification algorithms used to design brain–computer interface (BCI) systems based on electroencephalography (EEG). We briefly present the commonly employed algorithms and describe their critical properties. Based on the literature, we compare them in terms of performance and provide guidelines to choose the suitable classification algorithm(s) for a specific BCI.
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Submitted on : Tuesday, March 6, 2007 - 3:00:04 PM
Last modification on : Thursday, April 22, 2021 - 7:00:02 PM
Long-term archiving on: : Wednesday, April 7, 2010 - 1:25:01 AM


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  • HAL Id : inria-00134950, version 1


Fabien Lotte, Marco Congedo, Anatole Lécuyer, Fabrice Lamarche, Bruno Arnaldi. A review of classification algorithms for EEG-based brain–computer interfaces. Journal of Neural Engineering, IOP Publishing, 2007, 4, pp.24. ⟨inria-00134950⟩



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