Work

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

Year: 2007

Type: review

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.

Source: Journal of Neural Engineering

DOI: 10.1088/1741-2560/4/2/r01

Authors: F Lotte, M Congedo, A Lécuyer, F Lamarche, B Arnaldi

Institutions: Institut national de recherche en sciences et technologies du numérique, Institut de Recherche en Informatique et Systèmes Aléatoires, Orange (France)

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: bronze

Funder: Agence Nationale de la Recherche

OpenAlex ID: W2075647286

FWCI: 4.349

Cites: 93

Cited by: 2,736

Related to: 10