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dc.contributor.authorCalvo González, Mireia
dc.contributor.authorJané Campos, Raimon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2020-03-24T09:29:05Z
dc.date.available2020-03-24T09:29:05Z
dc.date.issued2019
dc.identifier.citationCalvo, M.; Jane, R. Sleep stage influence on the autonomic modulation of sleep apnea syndrome. A: Computing in Cardiology. "Computing in Cardiology 2019". 2019, p. 1-4.
dc.identifier.urihttp://hdl.handle.net/2117/181026
dc.description© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractHypoxia induced by obstructive sleep apnea (OSA) leads to the deregulation of the autonomic nervous system (ANS), resulting in an abnormally increased sympathetic activity. Since ANS modulation varies throughout the night, notably for each sleep stage, the hypno-gram and heart rate signals of 81 OSA patients were collected during a polysomnography. They were classified as mild-moderate (n=44) or severe (n=37) based on their apnea-hypopnea index (AHI). Spectral heart rate variability (HRV) series were extracted by a time-frequency approach. These series were then averaged for each sleep stage, in order to compare the sympathetic modulation of mild-moderate and severe patients at the following phases: rapid eye movement (REM), S1, S2 and SWS (slow wave sleep). According to normalized power at the low-frequency band (LF nu ) values, severe OSA seems to be associated with an increased sympathetic modulation at non-REM sleep. Moreover, a decreased autonomic variability throughout the night may be related to a reduced adaptability of the cardiovascular system, characterizing a more advanced stage of the disease. These results provide further evidence for the role of autonomic alterations induced by hypoxia, suggesting the use of HRV analysis, together with AHI, for the study of OSA severity
dc.format.extent4 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshSignal processing
dc.subject.lcshSleep apnea syndromes
dc.subject.otherSleep stage
dc.subject.otherSleep apnea
dc.subject.otherAutonomic Nervous System
dc.titleSleep stage influence on the autonomic modulation of sleep apnea syndrome
dc.typeConference report
dc.subject.lemacTractament del senyal
dc.subject.lemacSíndromes d'apnea del son
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.identifier.doi10.23919/CinC49843.2019
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/abstract/document/9005885
dc.rights.accessOpen Access
local.identifier.drac27104206
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//DPI2015-68820-R/ES/BIOMARCADORES FISIOLOGICOS MULTIMODALES PARA LA MONITORIZACION NO-INVASIVA Y CUIDADO A DOMICILIO DE PACIENTES EPOC CON COMORBILIDADES/
local.citation.authorCalvo, M.; Jane, R.
local.citation.contributorComputing in Cardiology
local.citation.publicationNameComputing in Cardiology 2019
local.citation.startingPage1
local.citation.endingPage4


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