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Diagnosis of Alzheimer’s Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands

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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.author Gallego Jutglà, Esteve
dc.contributor.author Elgendi, Mohamed
dc.contributor.author Vialatte, François B.
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Cichocki, Andrej
dc.contributor.author Jaeseung, Jeonga
dc.contributor.author Dauwels, Justin
dc.contributor.author Latchoumane, Charles-François V.
dc.date.accessioned 2014-02-07T11:29:25Z
dc.date.available 2014-02-07T11:29:25Z
dc.date.created 2012
dc.date.issued 2012
dc.identifier.citation Gallego-Jutgla, E., Elgendi, M., Vialatte, F., Solé Casals, J., Cichocki, A., Latchoumane, C., et al. (2012). Diagnosis of Alzheimer's Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands. 2012 Annual International Conference of the Ieee Engineering in Medicine and Biology Society (Embc), , 4266-4270. ca_ES
dc.identifier.issn 1557-170X
dc.identifier.uri http://hdl.handle.net/10854/2673
dc.description.abstract Several clinical studies have reported that EEG synchrony is affected by Alzheimer’s disease (AD). In this paper a frequency band analysis of AD EEG signals is presented, with the aim of improving the diagnosis of AD using EEG signals. In this paper, multiple synchrony measures are assessed through statistical tests (Mann–Whitney U test), including correlation, phase synchrony and Granger causality measures. Moreover, linear discriminant analysis (LDA) is conducted with those synchrony measures as features. For the data set at hand, the frequency range (5-6Hz) yields the best accuracy for diagnosing AD, which lies within the classical theta band (4-8Hz). The corresponding classification error is 4.88% for directed transfer function (DTF) Granger causality measure. Interestingly, results show that EEG of AD patients is more synchronous than in healthy subjects within the optimized range 5-6Hz, which is in sharp contrast with the loss of synchrony in AD EEG reported in many earlier studies. This new finding may provide new insights about the neurophysiology of AD. Additional testing on larger AD datasets is required to verify the effectiveness of the proposed approach. ca_ES
dc.format application/pdf
dc.format.extent 5 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Institute of Electrical and Electronic Engineers, IEEE ca_ES
dc.rights (c) IEEE, 2012 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights Tots els drets reservats ca_ES
dc.subject.other Alzheimer, Malaltia d' ca_ES
dc.subject.other Tractament del senyal ca_ES
dc.title Diagnosis of Alzheimer’s Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.relation.publisherversion http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=917796&tag=1
dc.rights.accessRights info:eu-repo/semantics/openAccess ca_ES
dc.type.version info:eu-repo/acceptedVersion ca_ES
dc.indexacio Indexat a SCOPUS
dc.indexacio Indexat a WOS/JCR ca_ES

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