Coherency and sharpness measures by using ICA algorithms. An investigation for Alzheimer’s disease discrimination

Solé-Casals, Jordi; Vialatte, François B.; Chen, Zhe; Cichocki, Andrej

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dc.contributor	Universitat de Vic. Escola Politècnica Superior
dc.contributor	Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor	International Conference on Bio-inspired Systems and Signal Proceesing (2a: 2009: Porto)
dc.contributor	BIOSIGNALS 2009
dc.contributor.author	Solé-Casals, Jordi
dc.contributor.author	Vialatte, François B.
dc.contributor.author	Chen, Zhe
dc.contributor.author	Cichocki, Andrej
dc.date.accessioned	2013-02-26T18:57:11Z
dc.date.available	2013-02-26T18:57:11Z
dc.date.created	2009
dc.date.issued	2009
dc.identifier.citation	Solé Casals, J., Vialatte, F., Chen, Z. & Cichocki, A. 2009, "COHERENCY AND SHARPNESS MEASURES BY USING ICA ALGORITHMS An Investigation for Alzheimer's Disease Discrimination", Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing; 2nd 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 14-17, 2009, pp. 468.	ca_ES
dc.identifier.isbn	78-989-8111-65-4
dc.identifier.uri	http://hdl.handle.net/10854/2104
dc.description.abstract	In this paper, we present a comprehensive study of different Independent Component Analysis (ICA) algorithms for the calculation of coherency and sharpness of electroencephalogram (EEG) signals, in order to investigate the possibility of early detection of Alzheimer’s disease (AD). We found that ICA algorithms can help in the artifact rejection and noise reduction, improving the discriminative property of features in high frequency bands (specially in high alpha and beta ranges). In addition to different ICA algorithms, the optimum number of selected components is investigated, in order to help decision processes for future works.	ca_ES
dc.format	application/pdf
dc.format.extent	8 p.	ca_ES
dc.language.iso	eng	ca_ES
dc.publisher	Springer	ca_ES
dc.rights	(c) Springer (The original publication is available at www.springerlink.com)
dc.rights	Tots els drets reservats	ca_ES
dc.subject.other	Algorismes	ca_ES
dc.title	Coherency and sharpness measures by using ICA algorithms. An investigation for Alzheimer’s disease discrimination	ca_ES
dc.type	info:eu-repo/semantics/conferenceObject	ca_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca_ES