Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/69836
DC FieldValueLanguage
dc.contributor.authorMendonça, Fábioen_US
dc.contributor.authorMostafa, Sheikh Shanawazen_US
dc.contributor.authorMorgado-Dias, Fernandoen_US
dc.contributor.authorRavelo García, Antonio Gabrielen_US
dc.contributor.authorPenzel, Thomasen_US
dc.date.accessioned2020-02-05T12:50:36Z-
dc.date.available2020-02-05T12:50:36Z-
dc.date.issued2019en_US
dc.identifier.issn2169-3536en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/69836-
dc.description.abstractSleep quality is directly related to overall wellness and can reveal symptoms of several diseases. However, the term 'sleep quality' still lacks a definitional consensus and is commonly assessed in sleep labs with polysomnography, comprising high costs, or through sleep questionnaires, a highly subjective technique. Multiple methods have been proposed to address the estimation of sleep quality, and devices were developed to conduct the examination in the subject's home. The objective of this paper is to analyze the methods and the devices presented in the literature, assessing the development of objective markers that could lead to an improvement of the subjective sleep experience understanding, leading to developments in the treatment of sleep quality deficits. A systematic review was conducted, selecting research articles published from 2000 to 2018, and two research questions were formulated, specifically, 'what methods for sleep quality assessment have been developed' and 'what kind of measures are employed by the devices that have been developed to estimate sleep quality.' The research trend for the assessment of sleep quality is based on the sleep macrostructure, and it was verified that despite the convenience and considerable popularity among the consumers of home health monitoring of devices, such as actigraphs, the validity of these tools regarding the estimation of sleep quality still needs to be systematically examined. A detailed resume of the key findings and the identified challenges are presented, ascertaining the main gaps in the current state of the art.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Accessen_US
dc.sourceIEEE Access [ISSN 2169-3536], v. 7, p. 24527-24546en_US
dc.subject32 Ciencias médicasen_US
dc.subject.otherHome Detectionen_US
dc.subject.otherMonitoring Devicesen_US
dc.subject.otherSleep Quality Analysisen_US
dc.titleA Review of Approaches for Sleep Quality Analysisen_US
dc.typeinfo:eu-repo/semantics/reviewen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2019.2900345
dc.identifier.scopus85062683807-
dc.identifier.isi000460981600001
dc.contributor.authorscopusid57195946416-
dc.contributor.authorscopusid55489640900-
dc.contributor.authorscopusid57200602527-
dc.contributor.authorscopusid9634135600-
dc.contributor.authorscopusid7005360676-
dc.description.lastpage24546en_US
dc.description.firstpage24527en_US
dc.relation.volume7en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Reseñaen_US
dc.contributor.daisngid6442981
dc.contributor.daisngid4069296
dc.contributor.daisngid1189663
dc.contributor.daisngid1986395
dc.contributor.daisngid35791
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Mendonca, F
dc.contributor.wosstandardWOS:Mostafa, SS
dc.contributor.wosstandardWOS:Morgado-Dias, F
dc.contributor.wosstandardWOS:Ravelo-Garcia, AG
dc.contributor.wosstandardWOS:Penzel, T
dc.date.coverdate2019
dc.identifier.ulpgces
dc.description.sjr0,775
dc.description.jcr3,745
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon 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-
Appears in Collections:Reseña
Thumbnail
pdf
Adobe PDF (9,51 MB)
Show simple item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.