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Wearable sleep staging technology as an alternative to polysomnography: a systematic review and meta-analysis

2024-10-24Conference object Restricted access
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dc.contributor.authorBorges, Maria
dc.contributor.authorPereira, Telmo
dc.contributor.authorBorges, Daniel Filipe
dc.contributor.authorSoares, Joana Isabel
dc.date.accessioned2024-10-28T16:12:15Z
dc.date.available2024-10-28T16:12:15Z
dc.date.issued2024-10-24
dc.description.abstractIntroduction:Sleep is vital for health as it has regenerative and protective functions. During sleep, there is a cyclicity of different phases that are analysed and classified for clinical purposes using polysomnography (PSG), a costly and technically demanding method. The tremendous growth of sleep medicine, where demand for studies far outstrips supply, opens a window for the development of accurate, low-threshold sleep monitoring solutions that can be self-administered at home and could help avoid these issues of convenience, accessibility and reproducibility. Objective:This study aims to analyse the existing literature on the feasibility of wearable devices as an alternative to PSG for the classification of sleep stages. Methods: The literature search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). All studies published in English or Portuguese with healthy adults who used wearables to record sleep were included. A meta-analysis was also performed to assess the mean values of the sleep metrics: total sleep time (TST), sleep latency (SL) and wake after sleep onset (WASO), all in minutes and time per stage (in minutes and as relative frequency of TST), as well as sleep efficiency (SE) (in %) and the corresponding statistics between the wearables used and the PSG. Results: Given the high variability of wearables, the analysed metrics whose values were closest to the PSG came from different devices. Nevertheless, the meta-analysis revealed that most wearables tend to overestimate these variables Conclusions: The performance of wearables demonstrates remarkable accuracy in sleep staging, rivalling the gold standard PSG in some variables while providing a more convenient and unobtrusive alternative. This review enriches our global knowledge of sleep measurement and summarizes the limitations that need to be overcome, as informed decision making depends on understanding the different device options, validation contexts and cost implications.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationAgostinho, M., Borges, M., Pereira, T., Borges, D.F., Soares, J.I. (2024, outubro). Wearable sleep staging technology as an alternative to polysomnography: a systematic review and meta-analysis. Livro de resumos do Congresso Nacional de Neurologia 2024, Cascais, Portugal.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/26271
dc.language.isoengpt_PT
dc.publisherSociedade Portuguesa de Neurologiapt_PT
dc.relation.publisherversionhttps://norahsevents.eventkey.pt/Ficheiros/2024/CN24/23_10_CN2024_Programa_.pdfpt_PT
dc.subjectSleeppt_PT
dc.subjectPRISMApt_PT
dc.titleWearable sleep staging technology as an alternative to polysomnography: a systematic review and meta-analysispt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCascaispt_PT
person.familyNameBorges
person.givenNameDaniel Filipe
person.identifier3235598
person.identifier.ciencia-id0217-87F9-58DF
person.identifier.orcid0000-0003-0189-7908
person.identifier.ridJVO-1831-2024
person.identifier.scopus-author-id57912703700
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationf67e814a-8ad9-4440-820a-deaccea87bb8
relation.isAuthorOfPublication.latestForDiscoveryf67e814a-8ad9-4440-820a-deaccea87bb8

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