Sleep Position Detection for Closed-Loop Treatment of Sleep-Related Breathing Disorders

A. Breuss*, N. Vonau, C. Ungricht, E. Schwarz, M. Irion, M. Bradicich, F. A. Grewe, S. Liechti, S. Thiel, M. Kohler, R. Riener, E. Wilhelm

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
79 Downloads (Pure)

Abstract

Reliable detection of sleep positions is essential for the development of technical aids for patients with position-dependent sleep-related breathing disorders. We compare personalized and generalizable sleeping position classifiers using unobtrusive eight-channel pressure-sensing mats. Data of six male patients with confirmed position-dependent sleep apnea was recorded during three subsequent nights. Personalized position classifiers trained using leave-one-night-out cross-validation on average reached an F1-score of 61.3% for supine/non-supine and an F1-score of 46.2% for supine/lateral-left/lateral-right classification. The generalizable classifiers reached average F1-scores of 62.1% and 49.1% for supine/non-supine and supine/lateral-left/lateral-right classification, respectively. In-bed presence ('bed occupancy') could be detected with an average F1-score of 98.1%. This work shows that personalized sleep-position classifiers trained with data from two nights have comparable performance to classifiers trained with large interpatient datasets. Simple eight-channel sensor mattresses can be used to accurately detect in-bed presence required for closed-loop systems but their use to classify sleep-positions is limited.

Original languageEnglish
Title of host publication2022 International Conference on Rehabilitation Robotics, ICORR 2022
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9781665488297
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Rehabilitation Robotics, ICORR 2022 - Rotterdam, Netherlands
Duration: 25-Jul-202229-Jul-2022

Publication series

NameIEEE International Conference on Rehabilitation Robotics
Volume2022-July
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference2022 International Conference on Rehabilitation Robotics, ICORR 2022
Country/TerritoryNetherlands
CityRotterdam
Period25/07/202229/07/2022

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