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dc.contributor.authorConcheiro-Moscoso, Patricia
dc.contributor.authorGroba, Betania
dc.contributor.authorMiranda-Duro, María del Carmen
dc.contributor.authorAlvarez-Estevez, Diego
dc.date.accessioned2023-11-10T15:33:05Z
dc.date.available2023-11-10T15:33:05Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/2183/34153
dc.descriptionCursos e Congresos, C-155es_ES
dc.description.abstract[Abstract] This study sought to compare the effectiveness of one of the top-selling activity wristbands, the Xiaomi Mi Band 5, with polysomnography in the measurement of sleep stages. Conducted at a hospital in A Coruña, Spain, this study recruited individuals already participating in a polysomnography study at a sleep unit. The study encompassed a total of 45 adults. The Xiaomi Mi Band 5 demonstrated an overall accuracy. Notably, it tended to overestimate total sleep time, light sleep, and deep sleep compared to polysomnography. Conversely, it underestimated wake after sleep onset and REM sleep measured by polysomnography. The Xiaomi Mi Band 5 holds potential as a tool for monitoring sleep and identifying alterations in sleep patterns, especially among individuals without sleep disorders. However, further research is warranted to evaluate its efficacy when used with individuals suffering from various types of sleep disorderses_ES
dc.description.sponsorshipXunta de Galicia; ED431B 2022/39es_ES
dc.description.sponsorshipXunta de Galicia; ED431H 2020/10es_ES
dc.description.sponsorshipCITIC is financed by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidade and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). The research carried out by TALIONIS group is financed by the Xunta de Galicia (Aid from the Consellería de Cultura, Educación Formación Profesional e Universidades for the consolidation and structuring of competitiveresearch units) ED431B 2022/39. DAE received funding from the project ED431H 2020/10 of the Xunta de Galicia. The publication is part of the project TED2021-130127A-I00, funded by MCIN/AEI/10.13039/501100011033 and by the European Union ”NextGenerationEU”/PRTR
dc.language.isoenges_ES
dc.publisherUniversidade da Coruña, Servizo de Publicaciónses_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/TED2021-130127A-I00/ES/CALIDAD DE VIDA PARA PERSONAS CUIDADORAS A TRAVÉS DE UNA SOLUCIÓN TECNOLÓGICA CENTRADA EN LA PERSONA.es_ES
dc.relation.urihttps://doi.org/10.17979/spudc.000024.37
dc.rightsAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/deed.es*
dc.subjectPulseras de actividades_ES
dc.subjectXiaomi Mi Band 5es_ES
dc.subjectMedición del sueñoes_ES
dc.subjectPolisomnografíaes_ES
dc.titlePerformance of Xiaomi Mi Band 5 Against Polysomnography in Measuring Sleepes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.startPage243es_ES
UDC.endPage248es_ES
UDC.conferenceTitleVI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruñaes_ES


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