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Automatic quiet sleep detection based on multifractality in preterm neonates: effects of maturation

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dc.creatorLavanga, M.spa
dc.creatorDe Wel, Ospa
dc.creatorCaicedo Dorado, Alexander
dc.creatorHeremans, Espa
dc.creatorJansen, Kspa
dc.creatorDereymaeker, Aspa
dc.creatorNaulaers, Gspa
dc.creatorVan Huffel, Sspa
dc.date.accessioned2020-08-28T15:50:07Z
dc.date.available2020-08-28T15:50:07Z
dc.date.created2017-09-14spa
dc.description.abstractThis study investigates the multifractal formalism framework for quiet sleep detection in preterm babies. EEG recordings from 25 healthy preterm infants were used in order to evaluate the performance of multifractal measures for the detection of quiet sleep. Results indicate that multifractal analysis based on wavelet leaders is able to identify quiet sleep epochs, but the classifier performances seem to be highly affected by the infant's age. In particular, from the developed classifiers, the lowest area under the curve (AUC) has been obtained for EEG recordings at very young age (? 31 weeks post-menstrual age), and the maximum at full-term age (? 37 weeks post-menstrual age). The improvement in classification performances can be due to a change in the multifractality properties of neonatal EEG during the maturation of the infant, which makes the EEG sleep stages more distinguishable.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/EMBC.2017.8037246
dc.identifier.issnISBN: 978-1-5090-2810-8
dc.identifier.issnEISBN: 978-1-5090-2809-2
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/28923
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.citationEndPage2013
dc.relation.citationStartPage2010
dc.relation.citationTitle2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
dc.relation.ispartof39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), ISBN: 978-1-5090-2810-8;EISBN: 978-1-5090-2809-2 (2017); pp. 2010-2013spa
dc.relation.urihttps://ieeexplore.ieee.org/document/8037246spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.source2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)spa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordFractalsspa
dc.subject.keywordPediatricsspa
dc.subject.keywordSleepspa
dc.subject.keywordElectroencephalographyspa
dc.subject.keywordEntropyspa
dc.subject.keywordTrainingspa
dc.subject.keywordBrain modelingspa
dc.titleAutomatic quiet sleep detection based on multifractality in preterm neonates: effects of maturationspa
dc.title.TranslatedTitleDetección automática del sueño silencioso basada en la multifractalidad en recién nacidos prematuros: efectos de la maduraciónspa
dc.typebookParteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaParte de librospa
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