TOPICAL REVIEW

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

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Published 31 January 2007 2007 IOP Publishing Ltd
, , Citation F Lotte et al 2007 J. Neural Eng. 4 R1 DOI 10.1088/1741-2560/4/2/R01

1741-2552/4/2/R1

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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