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 principales:	Yolanda Castillo-Escario, Hatice Kumru, Ignasi Ferrer-Lluis, Joan Vidal, Raimon Jané
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	spinal cord injury sleep-disordered breathing sleep apnea sleep position smartphone biomedical signal processing Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/65039bb83f7c4daa835660ec10b42528
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spelling	oai:doaj.org-article:65039bb83f7c4daa835660ec10b425282021-11-11T19:10:24ZDetection of Sleep-Disordered Breathing in Patients with Spinal Cord Injury Using a Smartphone10.3390/s212171821424-8220https://doaj.org/article/65039bb83f7c4daa835660ec10b425282021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7182https://doaj.org/toc/1424-8220Patients 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, <i>p</i> < 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.Yolanda Castillo-EscarioHatice KumruIgnasi Ferrer-LluisJoan VidalRaimon JanéMDPI AGarticlespinal cord injurysleep-disordered breathingsleep apneasleep positionsmartphonebiomedical signal processingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7182, p 7182 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	spinal cord injury sleep-disordered breathing sleep apnea sleep position smartphone biomedical signal processing Chemical technology TP1-1185
spellingShingle	spinal cord injury sleep-disordered breathing sleep apnea sleep position smartphone biomedical signal processing Chemical technology TP1-1185 Yolanda Castillo-Escario Hatice Kumru Ignasi Ferrer-Lluis Joan Vidal Raimon Jané Detection of Sleep-Disordered Breathing in Patients with Spinal Cord Injury Using a Smartphone
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, <i>p</i> < 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.
format	article
author	Yolanda Castillo-Escario Hatice Kumru Ignasi Ferrer-Lluis Joan Vidal Raimon Jané
author_facet	Yolanda Castillo-Escario Hatice Kumru Ignasi Ferrer-Lluis Joan Vidal Raimon Jané
author_sort	Yolanda Castillo-Escario
title	Detection of Sleep-Disordered Breathing in Patients with Spinal Cord Injury Using a Smartphone
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
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/65039bb83f7c4daa835660ec10b42528
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Detection of Sleep-Disordered Breathing in Patients with Spinal Cord Injury Using a Smartphone

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