Initial evaluation of substituting a sleep diary by smartwatch measurement

Forma parte del número especial dedicado al 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)

Detalles Bibliográficos
Autores: Gaiduk, Maksym, Seepold, Ralf, Martínez Madrid, Natividad, Orcioni, Simone, Conti, Massimo, Ortega Ramírez, Juan Antonio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/144063
Acceso en línea:https://hdl.handle.net/11441/144063
https://doi.org/10.1016/j.procs.2022.09.396
Access Level:acceso abierto
Palabra clave:sleep diary
sleep study
wearable
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spelling Initial evaluation of substituting a sleep diary by smartwatch measurementGaiduk, MaksymSeepold, RalfMartínez Madrid, NatividadOrcioni, SimoneConti, MassimoOrtega Ramírez, Juan Antoniosleep diarysleep studywearableForma parte del número especial dedicado al 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)Healthy sleep is required for sufficient restoration of the human body and brain. Therefore, in the case of sleep disorders, appropriate therapy should be applied timely, which requires a prompt diagnosis. Traditionally, a sleep diary is a part of diagnosis and therapy monitoring for some sleep disorders, such as cognitive behaviour therapy for insomnia. To automatise sleep monitoring and make it more comfortable for users, substituting a sleep diary with a smartwatch measurement could be considered. With the aim of providing accurate results, a study with a total of 30 night recordings was conducted. Objective sleep measurement with a Samsung Galaxy Watch 4 was compared with a subjective approach (sleep diary), evaluating the four relevant sleep characteristics: time of getting asleep, wake up time, sleep efficiency (SE), and total sleep time (TST). The performed analysis has demonstrated that the median difference between both measurement approaches was equal to 7 and 3 minutes for a time of getting asleep and wake up time correspondingly, which allows substituting a subjective measurement with a smartwatch. The SE was determined with a median difference between the two measurement methods of 5.22%. This result also implicates a possibility of substitution. Some single recordings have indicated a higher variance between the two approaches. Therefore, the conclusion can be made that a substitution provides reliable results primarily in the case of long-term monitoring. The results of the evaluation of the TST measurement do not allow to recommend substitution of the measurement method.ScienceDirectLenguajes y Sistemas Informáticos2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/144063https://doi.org/10.1016/j.procs.2022.09.396reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésProcedia Computer Science, 207, 3370-3377.https://www.sciencedirect.com/science/article/pii/S1877050922012868?via%3Dihubinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/1440632026-06-17T12:51:07Z
dc.title.none.fl_str_mv Initial evaluation of substituting a sleep diary by smartwatch measurement
title Initial evaluation of substituting a sleep diary by smartwatch measurement
spellingShingle Initial evaluation of substituting a sleep diary by smartwatch measurement
Gaiduk, Maksym
sleep diary
sleep study
wearable
title_short Initial evaluation of substituting a sleep diary by smartwatch measurement
title_full Initial evaluation of substituting a sleep diary by smartwatch measurement
title_fullStr Initial evaluation of substituting a sleep diary by smartwatch measurement
title_full_unstemmed Initial evaluation of substituting a sleep diary by smartwatch measurement
title_sort Initial evaluation of substituting a sleep diary by smartwatch measurement
dc.creator.none.fl_str_mv Gaiduk, Maksym
Seepold, Ralf
Martínez Madrid, Natividad
Orcioni, Simone
Conti, Massimo
Ortega Ramírez, Juan Antonio
author Gaiduk, Maksym
author_facet Gaiduk, Maksym
Seepold, Ralf
Martínez Madrid, Natividad
Orcioni, Simone
Conti, Massimo
Ortega Ramírez, Juan Antonio
author_role author
author2 Seepold, Ralf
Martínez Madrid, Natividad
Orcioni, Simone
Conti, Massimo
Ortega Ramírez, Juan Antonio
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Lenguajes y Sistemas Informáticos
dc.subject.none.fl_str_mv sleep diary
sleep study
wearable
topic sleep diary
sleep study
wearable
description Forma parte del número especial dedicado al 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/144063
https://doi.org/10.1016/j.procs.2022.09.396
url https://hdl.handle.net/11441/144063
https://doi.org/10.1016/j.procs.2022.09.396
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Procedia Computer Science, 207, 3370-3377.
https://www.sciencedirect.com/science/article/pii/S1877050922012868?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv ScienceDirect
publisher.none.fl_str_mv ScienceDirect
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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