Detection of epileptic events in eeg using wavelets

dc.creatorD'Attellis, C. E.
dc.creatorIsaacson, S. I.
dc.creatorSirne, R. O.
dc.date2017-09-25T21:47:05Z
dc.date2017-09-25T21:47:05Z
dc.date1994
dc.date.accessioned2023-03-09T08:58:14Z
dc.date.available2023-03-09T08:58:14Z
dc.identifierhttp://revistas.pucp.edu.pe/index.php/promathematica/article/view/10187/10629
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6032318
dc.descriptionEl artículo no presenta resumen
dc.descriptionThis 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.
dc.formatapplication/pdf
dc.languagespa
dc.publisherPontificia Universidad Católica del Perú
dc.publisherPE
dc.relationurn:issn:2305-2430
dc.relationurn:issn:1012-3938
dc.rightsAttribution 4.0 International
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by/4.0
dc.sourcePro Mathematica; Vol. 8, Núm. 15-16 (1994)
dc.subjectWavelets
dc.subjectEeg
dc.subjectDigital Filters
dc.subjectEvents Detection
dc.subjecthttps://purl.org/pe-repo/ocde/ford#1.01.00
dc.titleDetection of epileptic events in eeg using wavelets
dc.typeinfo:eu-repo/semantics/article
dc.typeArtículo


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