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dc.creatorGaiduk, Maksymes
dc.creatorSeepold, Ralfes
dc.creatorOrtega Ramírez, Juan Antonioes
dc.creatorMartínez Madrid, Natividades
dc.date.accessioned2023-02-15T09:57:38Z
dc.date.available2023-02-15T09:57:38Z
dc.date.issued2020
dc.identifier.citationGaiduk, M., Seepold, R., Ortega Ramírez, J.A. y Martínez Madrid, N. (2020). Comparison of sleep characteristics measurements: a case study with a population aged 65 and above. Procedia Computer Science, 176, 2341-2349. https://doi.org/10.1016/j.procs.2020.09.297.
dc.identifier.issn1877-0509 (online)es
dc.identifier.urihttps://hdl.handle.net/11441/142725
dc.description24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systemses
dc.description.abstractGood sleep is crucial for a healthy life of every person. Unfortunately, its quality often decreases with aging. A common approach to measuring the sleep characteristics is based on interviews with the subjects or letting them fill in a daily questionnaire and afterward evaluating the obtained data. However, this method has time and personal costs for the interviewer and evaluator of responses. Therefore, it would be important to execute the collection and evaluation of sleep characteristics automatically. To do that, it is necessary to investigate the level of agreement between measurements performed in a traditional way using questionnaires and measurements obtained using electronic monitoring devices. The study presented in this manuscript performs this investigation, comparing such sleep characteristics as "time going to bed", "total time in bed", "total sleep time" and "sleep efficiency". A total number of 106 night records of elderly persons (aged 65+) were analyzed. The results achieved so far reveal the fact that the degree of agreement between the two measurement methods varies substantially for different characteristics, from 31 minutes of mean difference for "time going to bed" to 77 minutes for "total sleep time". For this reason, a direct exchange of objective and subjective measuring methods is currently not possible.es
dc.formatapplication/pdfes
dc.format.extent9es
dc.language.isoenges
dc.publisherScienceDirectes
dc.relation.ispartofProcedia Computer Science, 176, 2341-2349.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSleep studyes
dc.subjectsleep qualityes
dc.subjectPSQIes
dc.subjectsleep efficiencyes
dc.titleComparison of sleep characteristics measurements: a case study with a population aged 65 and abovees
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877050920322067es
dc.identifier.doi10.1016/j.procs.2020.09.297es
dc.journaltitleProcedia Computer Sciencees
dc.publication.volumen176es
dc.publication.initialPage2341es
dc.publication.endPage2349es

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