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Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison

 

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dc.creator Martín-Clemente, Rubén es
dc.creator Olias Sánchez, Francisco Javier es
dc.creator Thiyam, Deepa Beeta es
dc.creator Cichocki, Andrzej es
dc.creator Cruces Álvarez, Sergio Antonio es
dc.date.accessioned 2018-05-29T16:44:39Z
dc.date.available 2018-05-29T16:44:39Z
dc.date.issued 2018-01-02
dc.identifier.citation Martín-Clemente, R., Olias Sánchez, F.J., Thiyam, D.B., Cichocki, A. y Cruces Álvarez, S.A. (2018). Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison. Entropy, 20 (1), 1-29.
dc.identifier.issn 1099-4300 es
dc.identifier.uri https://hdl.handle.net/11441/75395
dc.description.abstract Brain computer interfaces (BCIs) have been attracting a great interest in recent years. The common spatial patterns (CSP) technique is a well-established approach to the spatial filtering of the electroencephalogram (EEG) data in BCI applications. Even though CSP was originally proposed from a heuristic viewpoint, it can be also built on very strong foundations using information theory. This paper reviews the relationship between CSP and several information-theoretic approaches, including the Kullback–Leibler divergence, the Beta divergence and the Alpha-Beta log-det (AB-LD)divergence. We also revise other approaches based on the idea of selecting those features that are maximally informative about the class labels. The performance of all the methods will be also compared via experiments. es
dc.description.sponsorship Gobierno Español MICINN TEC2014-53103-P es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher MDPI es
dc.relation.ispartof Entropy, 20 (1), 1-29.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Common spatial patterns es
dc.subject Generalized divergences es
dc.subject Brain computer interfaces es
dc.title Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/publishedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones es
dc.relation.projectID MICINN TEC2014-53103-P es
dc.relation.publisherversion https://doi.org/10.3390/e20010007 es
dc.identifier.doi 10.3390/e20010007 es
idus.format.extent 29 p. es
dc.journaltitle Entropy es
dc.publication.volumen 20 es
dc.publication.issue 1 es
dc.publication.initialPage 1 es
dc.publication.endPage 29 es
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