Detection of Sleep-Disordered Breathing in Patients with Spinal Cord Injury Using a Smartphone
Castillo-Escario, Yolanda (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina)
Kumru, Hatice (Institut Germans Trias i Pujol. Institut Guttmann)
Ferrer-Lluis, Ignasi (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina)
Vidal, Joan (Institut Germans Trias i Pujol. Institut Guttmann)
Jané, Raimon (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina)
Universitat Autònoma de Barcelona

Data:	2021
Resum:	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.
Ajuts:	Agencia Estatal de Investigación RTI2018-098472-B-I00 Ministerio de Economía y Competitividad AC16/00034
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Biomedical signal processing ; Mhealth ; Monitoring ; Sleep-disordered breathing ; Sleep apnea ; Sleep position ; Smartphone ; Spinal cord injury
Publicat a:	Sensors (Basel, Switzerland), Vol. 21 (october 2021) , ISSN 1424-8220

DOI: 10.3390/s21217182
PMID: 34770489

19 p, 13.0 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
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