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dc.contributor.authorCelka, Patrick
dc.contributor.editorJ. Principe
dc.date.accessioned2006-06-26
dc.date.accessioned2014-04-24T01:52:37Z
dc.date.accessioned2017-03-02T01:10:49Z
dc.date.available2017-03-02T01:10:49Z
dc.date.issued2002
dc.date.modified2014-04-24T01:52:37Z
dc.identifier.issn0018-9294
dc.identifier.doi10.1109/TBME.2002.1001970
dc.identifier.urihttp://hdl.handle.net/10072/58800
dc.description.abstractThis paper presents the estimation of a nonstationary nonlinear model of seizures in infants based on parallel Wiener structures. The model comprises two parts and is partly derived from the Roessgen et al. seizure model. The first part consists of a nonlinear Wiener model of the pure background activity, and the second part in a nonlinear Wiener model of the pure seizure activity with a time-varying deterministic input signal. The two parts are then combined in a parallel structure. The Wiener model consists of an autoregressive moving average filter followed by a nonlinear shaping function to take into account the non-Gaussian statistical behavior of the data. Model estimation was performed on 64 infants of whom four showed signs of clinical and electrical seizures. Model validation is performed using time-frequency-based entropy distance and shows an averaged improvement of 50% in modeling performance compared with the Roessgen model.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.publisherIEEE
dc.publisher.placeNew York
dc.relation.ispartofpagefrom556
dc.relation.ispartofpageto564
dc.relation.ispartofjournalIEEE Trans. Biomedical Eng
dc.relation.ispartofvolume49
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchBiomedical Engineering
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0903
dc.subject.fieldofresearchcode0906
dc.titleNonlinear nonstationary Wiener model of infant EEG seizures
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyFaculty of Engineering and Information Technology
gro.date.issued2002
gro.hasfulltextNo Full Text
gro.griffith.authorCelka, Patrick


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