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EEG signal analysis via a cleaning procedure based on multivariate empirical mode decomposition

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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 Joint Conference on Computational Intelligence (4rt : 2012 : Barcelona, Catalunya)
dc.contributor.author Gallego Jutglà, Esteve
dc.contributor.author Rutkowski, E.
dc.contributor.author Cichocki, Andrej
dc.contributor.author Solé-Casals, Jordi
dc.date.accessioned 2013-11-27T12:34:20Z
dc.date.available 2013-11-27T12:34:20Z
dc.date.created 2012
dc.date.issued 2012
dc.identifier.citation Gallego-Jutglà, E., Rutkowski, T. M., Cichocki, A., & Solé-Casals, J. (2012). EEG signal analysis via a cleaning procedure based on multivariate empirical mode decomposition. Paper presented at the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, 670-676 ca_ES
dc.identifier.isbn 978-989-8565-33-4
dc.identifier.uri http://hdl.handle.net/10854/2486
dc.description IJCCI 2012 ca_ES
dc.description.abstract Artifacts are present in most of the electroencephalography (EEG) recordings, making it difficult to interpret or analyze the data. In this paper a cleaning procedure based on a multivariate extension of empirical mode decomposition is used to improve the quality of the data. This is achieved by applying the cleaning method to raw EEG data. Then, a synchrony measure is applied on the raw and the clean data in order to compare the improvement of the classification rate. Two classifiers are used, linear discriminant analysis and neural networks. For both cases, the classification rate is improved about 20%. ca_ES
dc.format application/pdf
dc.format.extent 7 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher SciTePress - Science and Technology Publications ca_ES
dc.rights (c) SciTePress - Science and Technology Publications
dc.rights Tots els drets reservats ca_ES
dc.subject.other Alzheimer, Malaltia d' ca_ES
dc.title EEG signal analysis via a cleaning procedure based on multivariate empirical mode decomposition ca_ES
dc.type info:eu-repo/semantics/conferenceObject ca_ES
dc.rights.accesRights info:eu-repo/semantics/openAccess ca_ES

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