Detection of epileptic events in eeg using wavelets

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dc.contributor.authorD'Attellis, C. E.
dc.contributor.authorIsaacson, S. I.
dc.contributor.authorSirne, R. O.
dc.date.accessioned2017-09-25T21:47:05Z
dc.date.available2017-09-25T21:47:05Z
dc.date.issued1994es_ES
dc.description.abstractEl artículo no presenta resumenes_ES
dc.description.abstractThis paper deal with the problem of automatic detection of epileptic events in EEGs from depth electrodes using multiresolution wavelet analysis. The basic problems in events detection are considered: the time localization and characterization of epileptiform events, and the computational efficiency. The algorithm presented is based on a polynomial spline wavelet transform. The multiresolution representation obtained from this wavelet transform and the digital filters derived allow us an automatic detection, efficient and fast, of epileptiform activity. The detector proposed is based on the multiresolution energy function. This paper shows that it is possible to use a multiresolution wavelet scheme for detecting events in a nonstationary signal. EEG records from depth electrodes were analysed and the results obtained are shown.en_US
dc.formatapplication/pdf
dc.identifier.urihttp://revistas.pucp.edu.pe/index.php/promathematica/article/view/10187/10629
dc.language.isospa
dc.publisherPontificia Universidad Católica del Perúes_ES
dc.publisher.countryPE
dc.relation.ispartofurn:issn:2305-2430
dc.relation.ispartofurn:issn:1012-3938
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0*
dc.sourcePro Mathematica; Vol. 8, Núm. 15-16 (1994)es_ES
dc.subjectWaveletses_ES
dc.subjectEeges_ES
dc.subjectDigital Filterses_ES
dc.subjectEvents Detectiones_ES
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.01.00
dc.titleDetection of epileptic events in eeg using waveletses_ES
dc.typeinfo:eu-repo/semantics/article
dc.type.otherArtículo

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Vol. 08 Núm. 15-16 (1994)