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Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study

It is well documented that body position significantly affects breathing indices during sleep in patients with obstructive sleep apnea. They usually worsen while changing from a non-supine to a supine position. Therefore, body position should be an accurately measured and credible parameter in all t...

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Autores principales: Kukwa, Wojciech, Lis, Tomasz, Łaba, Jonasz, Mitchell, Ron B., Młyńczak, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139663/
https://www.ncbi.nlm.nih.gov/pubmed/35626350
http://dx.doi.org/10.3390/diagnostics12051195
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author Kukwa, Wojciech
Lis, Tomasz
Łaba, Jonasz
Mitchell, Ron B.
Młyńczak, Marcel
author_facet Kukwa, Wojciech
Lis, Tomasz
Łaba, Jonasz
Mitchell, Ron B.
Młyńczak, Marcel
author_sort Kukwa, Wojciech
collection PubMed
description It is well documented that body position significantly affects breathing indices during sleep in patients with obstructive sleep apnea. They usually worsen while changing from a non-supine to a supine position. Therefore, body position should be an accurately measured and credible parameter in all types of sleep studies. The aim of this study was to specify the accuracy of a neck-based monitoring device (Clebre, Olsztyn, Poland) mounted at the suprasternal notch, in determining a supine and non-supine sleeping position, as well as specific body positions during sleep, in comparison to polysomnography (PSG). A sleep study (PSG along with a neck-based audio-motion sensor) was performed on 89 consecutive patients. The accuracy in determining supine and non-supine positions was [Formula: see text] and [Formula: see text] , respectively. For lateral positions, the accuracy was [Formula: see text] and [Formula: see text] for the right and left side, respectively. The prone position was detected with an accuracy of [Formula: see text]. The study showed a high accuracy in detecting supine, as well as other gross positions, during sleep based on a sensor attached to the suprasternal notch, compared to the PSG study. We feel that the suprasternal notch is a promising area for placing wireless sleep study devices.
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spelling pubmed-91396632022-05-28 Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study Kukwa, Wojciech Lis, Tomasz Łaba, Jonasz Mitchell, Ron B. Młyńczak, Marcel Diagnostics (Basel) Article It is well documented that body position significantly affects breathing indices during sleep in patients with obstructive sleep apnea. They usually worsen while changing from a non-supine to a supine position. Therefore, body position should be an accurately measured and credible parameter in all types of sleep studies. The aim of this study was to specify the accuracy of a neck-based monitoring device (Clebre, Olsztyn, Poland) mounted at the suprasternal notch, in determining a supine and non-supine sleeping position, as well as specific body positions during sleep, in comparison to polysomnography (PSG). A sleep study (PSG along with a neck-based audio-motion sensor) was performed on 89 consecutive patients. The accuracy in determining supine and non-supine positions was [Formula: see text] and [Formula: see text] , respectively. For lateral positions, the accuracy was [Formula: see text] and [Formula: see text] for the right and left side, respectively. The prone position was detected with an accuracy of [Formula: see text]. The study showed a high accuracy in detecting supine, as well as other gross positions, during sleep based on a sensor attached to the suprasternal notch, compared to the PSG study. We feel that the suprasternal notch is a promising area for placing wireless sleep study devices. MDPI 2022-05-11 /pmc/articles/PMC9139663/ /pubmed/35626350 http://dx.doi.org/10.3390/diagnostics12051195 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kukwa, Wojciech
Lis, Tomasz
Łaba, Jonasz
Mitchell, Ron B.
Młyńczak, Marcel
Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study
title Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study
title_full Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study
title_fullStr Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study
title_full_unstemmed Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study
title_short Sleep Position Detection with a Wireless Audio-Motion Sensor—A Validation Study
title_sort sleep position detection with a wireless audio-motion sensor—a validation study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139663/
https://www.ncbi.nlm.nih.gov/pubmed/35626350
http://dx.doi.org/10.3390/diagnostics12051195
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