Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42005
DC FieldValueLanguage
dc.contributor.authorMendonça, Fábioen_US
dc.contributor.authorMostafa, Sheikh Shanawazen_US
dc.contributor.authorRavelo-García, Antonio G.en_US
dc.contributor.authorMorgado-Dias, Fernandoen_US
dc.contributor.authorPenzel, Thomasen_US
dc.date.accessioned2018-09-27T09:45:21Z-
dc.date.available2018-09-27T09:45:21Z-
dc.date.issued2018en_US
dc.identifier.issn1087-0792en_US
dc.identifier.urihttp://hdl.handle.net/10553/42005-
dc.description.abstractOne of the most common sleep-related disorders is obstructive sleep apnea, characterized by a reduction of airflow while breathing during sleep and cause significant health problems. This disorder is mainly diagnosed in sleep labs with polysomnography, involving high costs and stress for the patient. To address this situation multiple systems have been proposed to conduct the examination and analysis in the patient's home, using sensors to detect physiological signals that are examined by algorithms. The objective of this research is to review publications that show the performance of different devices for ambulatory diagnosis of sleep apnea. Commercial systems that were examined by an independent research group and validated research projects were selected. In total 117 articles were analysed, including a total of 50 commercial devices. Each article was evaluated according to diagnostic elements, level of automatisation implemented and the deducted level of evidence and quality rating. Each device was categorized using the SCOPER categorization system, including an additional proposed category, and a final comparison was performed to determine the sensors that provided the best results.en_US
dc.languageengen_US
dc.publisher1087-0792
dc.relation.ispartofSleep Medicine Reviewsen_US
dc.sourceSleep Medicine Reviews [ISSN 1087-0792], v. 41, p. 149-160en_US
dc.subject3314 Tecnología médicaen_US
dc.subject.otherSleep apneaen_US
dc.subject.otherHome detectionen_US
dc.subject.otherMonitoring devicesen_US
dc.titleDevices for home detection of obstructive sleep apnea: A reviewen_US
dc.typeinfo:eu-repo/semantics/reviewes
dc.typeArticlees
dc.identifier.doi10.1016/j.smrv.2018.02.004
dc.identifier.scopus85049333764
dc.identifier.isi000443990200012-
dc.contributor.authorscopusid57195946416
dc.contributor.authorscopusid55489640900
dc.contributor.authorscopusid9634135600
dc.contributor.authorscopusid57200602527
dc.contributor.authorscopusid7005360676
dc.description.lastpage160-
dc.description.firstpage149-
dc.relation.volume41-
dc.investigacionCiencias de la Saluden_US
dc.type2Reseñaen_US
dc.contributor.daisngid6442981
dc.contributor.daisngid4069296
dc.contributor.daisngid1986395
dc.contributor.daisngid1189663
dc.contributor.daisngid35791
dc.contributor.wosstandardWOS:Mendonca, F
dc.contributor.wosstandardWOS:Mostafa, SS
dc.contributor.wosstandardWOS:Ravelo-Garcia, AG
dc.contributor.wosstandardWOS:Morgado-Dias, F
dc.contributor.wosstandardWOS:Penzel, T
dc.date.coverdateOctubre 2018
dc.identifier.ulpgces
dc.description.sjr3,545
dc.description.jcr10,517
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-8512-965X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameRavelo García, Antonio Gabriel-
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