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Probabilistic cardiac and respiratory based classification of sleep and apneic events in subjects with sleep apnea

dc.creatorWillemen, Tspa
dc.creatorVaron, Cspa
dc.creatorCaicedo Dorado, Aspa
dc.creatorHaex, Bspa
dc.creatorVander Sloten, Jspa
dc.creatorVan Huffel, Sspa
dc.date.accessioned2020-08-19T14:40:16Z
dc.date.available2020-08-19T14:40:16Z
dc.date.created2015-08-19spa
dc.description.abstractCurrent clinical standards to assess sleep and its disorders lack either accuracy or user-friendliness. They are therefore difficult to use in cost-effective population-wide screening or long-term objective follow-up after diagnosis. In order to fill this gap, the use of cardiac and respiratory information was evaluated for discrimination between different sleep stages, and for detection of apneic breathing. Alternative probabilistic visual representations were also presented, referred to as the hypnocorrogram and apneacorrogram. Analysis was performed on the UCD sleep apnea database, available on Physionet. The presence of apneic events proved to have a significant impact on the performance of a cardiac and respiratory based algorithm for sleep stage classification. WAKE versus SLEEP discrimination resulted in a kappa value of $\kappa =0.439$ , while REM versus NREM resulted in $\kappa =0.298$ and light sleep (N1N2) versus deep sleep (N3) in $\kappa =0.339$ . The high proportion of hypopneic events led to poor detection of apneic breathing, resulting in a kappa value of $\kappa =0.272$ . While the probabilistic representations allow to put classifier output in perspective, further improvements would be necessary to make the classifier reliable for use on patients with sleep apnea.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1088/0967-3334/36/10/2103
dc.identifier.issnISSN: 0967-3334
dc.identifier.issnEISSN: 1361-6579
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/26798
dc.language.isoengspa
dc.publisherInstitute of Physics and Engineering in Medicinespa
dc.publisherIOP Publishingspa
dc.relation.citationIssueNo. 19
dc.relation.citationStartPage2103
dc.relation.citationTitlePhysiological Measurement
dc.relation.citationVolumeVol. 36
dc.relation.ispartofPhysiological Measurement, ISSN: 0967-3334;EISSN: 1361-6579, Vol.36, No.19 (2015); pp. 2103spa
dc.relation.urihttps://iopscience.iop.org/article/10.1088/0967-3334/36/10/2103spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourcePhysiological Measurementspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordAdultspa
dc.subject.keywordAgedspa
dc.subject.keywordFemalespa
dc.subject.keywordSleep apnea syndromes diagnosisspa
dc.subject.keywordSleep stagesspa
dc.titleProbabilistic cardiac and respiratory based classification of sleep and apneic events in subjects with sleep apneaspa
dc.title.TranslatedTitleClasificación probabilística cardíaca y respiratoria de eventos de sueño y apneicos en sujetos con apnea del sueñospa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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