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EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts

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dc.contributor Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor.author Vialatte, François B.
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Cichocki, Andrej
dc.date.accessioned 2013-03-11T11:05:12Z
dc.date.available 2013-03-11T11:05:12Z
dc.date.issued 2008
dc.identifier.citation Vialatte F, Solé Casals J, Cichocki A. 2008. EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts. Physiol Meas 29(12):1435-52. ca_ES
dc.identifier.issn 0967-3334
dc.identifier.uri http://hdl.handle.net/10854/2146
dc.description.abstract EEG recordings are usually corrupted by spurious extra-cerebral artifacts, which should be rejected or cleaned up by the practitioner. Since manual screening of human EEGs is inherently error prone and might induce experimental bias, automatic artifact detection is an issue of importance. Automatic artifact detection is the best guarantee for objective and clean results. We present a new approach, based on the time–frequency shape of muscular artifacts, to achieve reliable and automatic scoring. The impact of muscular activity on the signal can be evaluated using this methodology by placing emphasis on the analysis of EEG activity. The method is used to discriminate evoked potentials from several types of recorded muscular artifacts—with a sensitivity of 98.8% and a specificity of 92.2%. Automatic cleaning ofEEGdata are then successfully realized using this method, combined with independent component analysis. The outcome of the automatic cleaning is then compared with the Slepian multitaper spectrum based technique introduced by Delorme et al (2007 Neuroimage 34 1443–9). ca_ES
dc.format application/pdf
dc.format.extent 19 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Institute of Physics ca_ES
dc.rights © Institute of Physics (IOP). Published article can be found at http://iopscience.iop.org/0967-3334/29/12/007
dc.subject.other Tractament del senyal ca_ES
dc.title EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.1088/0967-3334/29/12/007
dc.relation.publisherversion http://iopscience.iop.org/0967-3334/29/12/007
dc.rights.accesRights 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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