Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/2384
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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP-
dc.contributor.authorALENCAR, Adriano M.-
dc.contributor.authorSILVA, Diego Greatti Vaz da-
dc.contributor.authorOLIVEIRA, Carolina Beatriz-
dc.contributor.authorVIEIRA, Andre P.-
dc.contributor.authorMORIYA, Henrique T.-
dc.contributor.authorLORENZI-FILHO, Geraldo-
dc.date.accessioned2013-09-23T16:53:37Z-
dc.date.available2013-09-23T16:53:37Z-
dc.date.issued2013-
dc.identifier.citationPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.392, n.1, p.271-277, 2013-
dc.identifier.issn0378-4371-
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/2384-
dc.description.abstractSnoring is extremely common in the general population and when irregular may indicate the presence of obstructive sleep apnea. We analyze the overnight sequence of wave packets - the snore sound - recorded during full polysomnography in patients referred to the Sleep Laboratory due to suspected obstructive sleep apnea. We hypothesize that irregular snore, with duration in the range between 10 and 100 s, correlates with respiratory obstructive events. We find that the number of irregular snores - easily accessible, and quantified by what we call the snore time interval index (STII) - is in good agreement with the well-known apnea-hypopnea index, which expresses the severity of obstructive sleep apnea and is extracted only from polysomnography. In addition, the Hurst analysis of the snore sound itself, which calculates the fluctuations in the signal as a function of time interval, is used to build a classifier that is able to distinguish between patients with no or mild apnea and patients with moderate or severe apnea.-
dc.description.sponsorshipFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)-
dc.language.isoeng-
dc.publisherELSEVIER SCIENCE BV-
dc.relation.ispartofPhysica A-Statistical Mechanics and Its Applications-
dc.rightsrestrictedAccess-
dc.subjectSnore-
dc.subjectHurst-
dc.subjectTime interval-
dc.subjectOSA-
dc.subject.otherfractal dynamics-
dc.subject.othereeg-
dc.subject.otherseverity-
dc.titleDynamics of snoring sounds and its connection with obstructive sleep apnea-
dc.typearticle-
dc.rights.holderCopyright ELSEVIER SCIENCE BV-
dc.identifier.doi10.1016/j.physa.2012.08.008-
dc.subject.wosPhysics, Multidisciplinary-
dc.type.categoryoriginal article-
dc.type.versionpublishedVersion-
hcfmusp.author.externalALENCAR, Adriano M.:Univ Sao Paulo, Inst Fis, BR-05508 Sao Paulo, Brazil-
hcfmusp.author.externalSILVA, Diego Greatti Vaz da:Univ Sao Paulo, Fac Med, Heart Inst InCor, Div Pulm,Sleep Lab, BR-05508 Sao Paulo, Brazil-
hcfmusp.author.externalOLIVEIRA, Carolina Beatriz:Univ Sao Paulo, Fac Med, Heart Inst InCor, Div Pulm,Sleep Lab, BR-05508 Sao Paulo, Brazil-
hcfmusp.author.externalVIEIRA, Andre P.:Univ Sao Paulo, Inst Fis, BR-05508 Sao Paulo, Brazil-
hcfmusp.author.externalMORIYA, Henrique T.:Univ Sao Paulo, Biomed Engn Lab, BR-05508 Sao Paulo, Brazil-
hcfmusp.description.beginpage271-
hcfmusp.description.endpage277-
hcfmusp.description.issue1-
hcfmusp.description.volume392-
hcfmusp.origemWOS-
hcfmusp.origem.idWOS:000311003500025-
hcfmusp.origem.id2-s2.0-84867335019-
hcfmusp.publisher.cityAMSTERDAM-
hcfmusp.publisher.countryNETHERLANDS-
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dc.description.indexPubMed-
hcfmusp.remissive.sponsorshipCNPq-
hcfmusp.remissive.sponsorshipFAPESP-
hcfmusp.citation.scopus16-
hcfmusp.scopus.lastupdate2022-05-06-
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Instituto Central - HC/ICHC

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Instituto do Coração - HC/InCor

Artigos e Materiais de Revistas Científicas - LIM/09
LIM/09 - Laboratório de Pneumologia


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