Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment

Poor sleep quality or disturbed sleep is associated with multiple health conditions. Sleep position affects the severity and occurrence of these complications, and positional therapy is one of the less invasive treatments to deal with them. Sleep positions can be self-reported, which is unreliable,...

Descripción completa

Detalles Bibliográficos
Autores: Ferrer Lluis, Ignasi, Castillo Escario, Yolanda, Montserrat, Josep Maria, Jané, Raimon
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/186185
Acceso en línea:https://hdl.handle.net/2445/186185
Access Level:acceso abierto
Palabra clave:Telèfons intel·ligents
Enginyeria biomèdica
Son
Smartphones
Biomedical engineering
Sleep
id ES_752bdedec7220720cbe60feb00f12f2c
oai_identifier_str oai:diposit.ub.edu:2445/186185
network_acronym_str ES
network_name_str España
repository_id_str
spelling Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatmentFerrer Lluis, IgnasiCastillo Escario, YolandaMontserrat, Josep MariaJané, RaimonTelèfons intel·ligentsEnginyeria biomèdicaSonSmartphonesBiomedical engineeringSleepPoor sleep quality or disturbed sleep is associated with multiple health conditions. Sleep position affects the severity and occurrence of these complications, and positional therapy is one of the less invasive treatments to deal with them. Sleep positions can be self-reported, which is unreliable, or determined by using specific devices, such as polysomnography, polygraphy or cameras, that can be expensive and difficult to employ at home. The aim of this study is to determine how smartphones could be used to monitor and treat sleep position at home. We divided our research into three tasks: (1) develop an Android smartphone application (‘SleepPos’ app) which monitors angle-based high-resolution sleep position and allows to simultaneously apply positional treatment; (2) test the smartphone application at home coupled with a pulse oximeter; and (3) explore the potential of this tool to detect the positional occurrence of desaturation events. The results show how the ‘SleepPos’ app successfully determined the sleep position and revealed positional patterns of occurrence of desaturation events. The ‘SleepPos’ app also succeeded in applying positional therapy and preventing the subjects from sleeping in the supine sleep position. This study demonstrates how smartphones are capable of reliably monitoring high-resolution sleep position and provide useful clinical information about the positional occurrence of desaturation events.MDPI2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/186185Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.3390/s21134531Sensors, 2021, vol. 21, num.13, p. 4531https://doi.org/10.3390/s21134531info:eu-repo/grantAgreement/EC/H2020/713673cc by (c) Ferrer Lluis, Ignasi et al., 2021http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1861852026-05-27T06:46:51Z
dc.title.none.fl_str_mv Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
title Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
spellingShingle Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
Ferrer Lluis, Ignasi
Telèfons intel·ligents
Enginyeria biomèdica
Son
Smartphones
Biomedical engineering
Sleep
title_short Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
title_full Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
title_fullStr Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
title_full_unstemmed Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
title_sort Sleeppos app: An automated smartphone application for angle based high resolution sleep position monitoring and treatment
dc.creator.none.fl_str_mv Ferrer Lluis, Ignasi
Castillo Escario, Yolanda
Montserrat, Josep Maria
Jané, Raimon
author Ferrer Lluis, Ignasi
author_facet Ferrer Lluis, Ignasi
Castillo Escario, Yolanda
Montserrat, Josep Maria
Jané, Raimon
author_role author
author2 Castillo Escario, Yolanda
Montserrat, Josep Maria
Jané, Raimon
author2_role author
author
author
dc.subject.none.fl_str_mv Telèfons intel·ligents
Enginyeria biomèdica
Son
Smartphones
Biomedical engineering
Sleep
topic Telèfons intel·ligents
Enginyeria biomèdica
Son
Smartphones
Biomedical engineering
Sleep
description Poor sleep quality or disturbed sleep is associated with multiple health conditions. Sleep position affects the severity and occurrence of these complications, and positional therapy is one of the less invasive treatments to deal with them. Sleep positions can be self-reported, which is unreliable, or determined by using specific devices, such as polysomnography, polygraphy or cameras, that can be expensive and difficult to employ at home. The aim of this study is to determine how smartphones could be used to monitor and treat sleep position at home. We divided our research into three tasks: (1) develop an Android smartphone application (‘SleepPos’ app) which monitors angle-based high-resolution sleep position and allows to simultaneously apply positional treatment; (2) test the smartphone application at home coupled with a pulse oximeter; and (3) explore the potential of this tool to detect the positional occurrence of desaturation events. The results show how the ‘SleepPos’ app successfully determined the sleep position and revealed positional patterns of occurrence of desaturation events. The ‘SleepPos’ app also succeeded in applying positional therapy and preventing the subjects from sleeping in the supine sleep position. This study demonstrates how smartphones are capable of reliably monitoring high-resolution sleep position and provide useful clinical information about the positional occurrence of desaturation events.
publishDate 2021
dc.date.none.fl_str_mv 2021
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/2445/186185
url https://hdl.handle.net/2445/186185
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.3390/s21134531
Sensors, 2021, vol. 21, num.13, p. 4531
https://doi.org/10.3390/s21134531
info:eu-repo/grantAgreement/EC/H2020/713673
dc.rights.none.fl_str_mv cc by (c) Ferrer Lluis, Ignasi et al., 2021
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by (c) Ferrer Lluis, Ignasi et al., 2021
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410961663721472
score 15.300719

Similares en LA Referencia