Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone

Patients with spinal cord injury (SCI) have an increased risk of sleep-disordered breathing (SDB), which can lead to serious comorbidities and impact patients’ recovery and quality of life. However, sleep tests are rarely performed on SCI patients, given their multiple health needs and the cost and...

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Autores: Castillo Escario, Yolanda|||0000-0002-7493-1268, Kumru, Hatice, Ferrer Lluís, Ignasi, Vidal Samsó, Joan, Jané Campos, Raimon|||0000-0002-6541-8729
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/355847
Acceso en línea:https://hdl.handle.net/2117/355847
https://dx.doi.org/10.3390/s21217182
Access Level:acceso abierto
Palabra clave:Sleep disorders
Smartphones
Spinal cord--Wounds and injuries
Spinal cord injury
Sleep-disordered breathing
Sleep apnea
Sleep position
Smartphone
Biomedical signal processing
MHealth
Monitoring
Trastorns del son
Medul·la espinal -- Ferides i lesions
Telèfons intel·ligents
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
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network_acronym_str ES
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repository_id_str
spelling Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphoneCastillo Escario, Yolanda|||0000-0002-7493-1268Kumru, HaticeFerrer Lluís, IgnasiVidal Samsó, JoanJané Campos, Raimon|||0000-0002-6541-8729Sleep disordersSmartphonesSpinal cord--Wounds and injuriesSpinal cord injurySleep-disordered breathingSleep apneaSleep positionSmartphoneBiomedical signal processingMHealthMonitoringTrastorns del sonMedul·la espinal -- Ferides i lesionsTelèfons intel·ligentsÀrees temàtiques de la UPC::Informàtica::Automàtica i controlÀrees temàtiques de la UPC::Ciències de la salut::Medicina::NeurologiaPatients with spinal cord injury (SCI) have an increased risk of sleep-disordered breathing (SDB), which can lead to serious comorbidities and impact patients’ recovery and quality of life. However, sleep tests are rarely performed on SCI patients, given their multiple health needs and the cost and complexity of diagnostic equipment. The objective of this study was to use a novel smartphone system as a simple non-invasive tool to monitor SDB in SCI patients. We recorded pulse oximetry, acoustic, and accelerometer data using a smartphone during overnight tests in 19 SCI patients and 19 able-bodied controls. Then, we analyzed these signals with automatic algorithms to detect desaturation, apnea, and hypopnea events and monitor sleep position. The apnea–hypopnea index (AHI) was significantly higher in SCI patients than controls (25 ± 15 vs. 9 ± 7, p < 0.001). We found that 63% of SCI patients had moderate-to-severe SDB (AHI = 15) in contrast to 21% of control subjects. Most SCI patients slept predominantly in supine position, but an increased occurrence of events in supine position was only observed for eight patients. This study highlights the problem of SDB in SCI and provides simple cost-effective sleep monitoring tools to facilitate the detection, understanding, and management of SDB in SCI patients.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20212021-10-2920212021-11-09journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/355847https://dx.doi.org/10.3390/s21217182reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3558472026-05-27T15:37:01Z
dc.title.none.fl_str_mv Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
title Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
spellingShingle Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
Castillo Escario, Yolanda|||0000-0002-7493-1268
Sleep disorders
Smartphones
Spinal cord--Wounds and injuries
Spinal cord injury
Sleep-disordered breathing
Sleep apnea
Sleep position
Smartphone
Biomedical signal processing
MHealth
Monitoring
Trastorns del son
Medul·la espinal -- Ferides i lesions
Telèfons intel·ligents
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
title_short Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
title_full Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
title_fullStr Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
title_full_unstemmed Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
title_sort Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone
dc.creator.none.fl_str_mv Castillo Escario, Yolanda|||0000-0002-7493-1268
Kumru, Hatice
Ferrer Lluís, Ignasi
Vidal Samsó, Joan
Jané Campos, Raimon|||0000-0002-6541-8729
author Castillo Escario, Yolanda|||0000-0002-7493-1268
author_facet Castillo Escario, Yolanda|||0000-0002-7493-1268
Kumru, Hatice
Ferrer Lluís, Ignasi
Vidal Samsó, Joan
Jané Campos, Raimon|||0000-0002-6541-8729
author_role author
author2 Kumru, Hatice
Ferrer Lluís, Ignasi
Vidal Samsó, Joan
Jané Campos, Raimon|||0000-0002-6541-8729
author2_role author
author
author
author
dc.subject.none.fl_str_mv Sleep disorders
Smartphones
Spinal cord--Wounds and injuries
Spinal cord injury
Sleep-disordered breathing
Sleep apnea
Sleep position
Smartphone
Biomedical signal processing
MHealth
Monitoring
Trastorns del son
Medul·la espinal -- Ferides i lesions
Telèfons intel·ligents
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
topic Sleep disorders
Smartphones
Spinal cord--Wounds and injuries
Spinal cord injury
Sleep-disordered breathing
Sleep apnea
Sleep position
Smartphone
Biomedical signal processing
MHealth
Monitoring
Trastorns del son
Medul·la espinal -- Ferides i lesions
Telèfons intel·ligents
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
description Patients with spinal cord injury (SCI) have an increased risk of sleep-disordered breathing (SDB), which can lead to serious comorbidities and impact patients’ recovery and quality of life. However, sleep tests are rarely performed on SCI patients, given their multiple health needs and the cost and complexity of diagnostic equipment. The objective of this study was to use a novel smartphone system as a simple non-invasive tool to monitor SDB in SCI patients. We recorded pulse oximetry, acoustic, and accelerometer data using a smartphone during overnight tests in 19 SCI patients and 19 able-bodied controls. Then, we analyzed these signals with automatic algorithms to detect desaturation, apnea, and hypopnea events and monitor sleep position. The apnea–hypopnea index (AHI) was significantly higher in SCI patients than controls (25 ± 15 vs. 9 ± 7, p < 0.001). We found that 63% of SCI patients had moderate-to-severe SDB (AHI = 15) in contrast to 21% of control subjects. Most SCI patients slept predominantly in supine position, but an increased occurrence of events in supine position was only observed for eight patients. This study highlights the problem of SDB in SCI and provides simple cost-effective sleep monitoring tools to facilitate the detection, understanding, and management of SDB in SCI patients.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-10-29
2021
2021-11-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/355847
https://dx.doi.org/10.3390/s21217182
url https://hdl.handle.net/2117/355847
https://dx.doi.org/10.3390/s21217182
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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