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dc.contributorUniversitat de Vic. Escola Politècnica Superior
dc.contributorUniversitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributorInternational Conference on Bio-inspired Systems and Signal Proceesing (1a: 2008: Madeira)
dc.contributorBIOSIGNALS 2008
dc.contributor.authorSolé-Casals, Jordi
dc.contributor.authorVialatte, François B.
dc.contributor.authorChen, Zhe
dc.contributor.authorCichocki, Andrej
dc.date.accessioned2013-02-26T19:07:42Z
dc.date.available2013-02-26T19:07:42Z
dc.date.created2008
dc.date.issued2008
dc.identifier.citationSolé Casals, J., Vialatte, F., Chen, Z. & Cichocki, A. 2008, "Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease", Biosignals 2008: Proceedings of the First International Conference on Bio-Inspired Systems and Signal Processing, Vol 1; 1st International Conference on Bio-inspired Systems and Signal Processing, eds. P. Encarnacao & A. Veloso, INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, SETUBAL; AVENIDA D MANUEL L, 27A 2 ESQUERDO, SETUBAL, 2910-595, PORTUGAL, JAN 28-31, 2008, pp. 232.ca_ES
dc.identifier.urihttp://hdl.handle.net/10854/2105
dc.description.abstractIn this paper we present a quantitative comparisons of different independent component analysis (ICA) algorithms in order to investigate their potential use in preprocessing (such as noise reduction and feature extraction) the electroencephalogram (EEG) data for early detection of Alzhemier disease (AD) or discrimination between AD (or mild cognitive impairment, MCI) and age-match control subjects.ca_ES
dc.formatapplication/pdf
dc.format.extent4 p.ca_ES
dc.language.isoengca_ES
dc.rightsTots els drets reservatsca_ES
dc.subject.otherAlgorismesca_ES
dc.titleInvestigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer diseaseca_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES


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