Contactless Optical Detection of Nocturnal Respiratory Events

Belmin Alić, Tim Zauber, Chen Zhang, Wang Liao, Alina Wildenauer, Noah Leosz, Torsten Eggert, Sarah Dietz-Terjung, Sivagurunathan Sutharsan, Gerhard Weinreich, Christoph Schöbel, Gunther Notni, Christian Wiede, Karsten Seidl, Karsten Seidl

2023

Abstract

Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder characterized by the collapse of the upper airway and associated with various diseases. For clinical diagnosis, a patient’s sleep is recorded during the night via polysomnography (PSG) and evaluated the next day regarding nocturnal respiratory events. The most prevalent events include obstructive apneas and hypopneas. In this paper, we introduce a fully automatic contactless optical method for the detection of nocturnal respiratory events. The goal of this study is to demonstrate how nocturnal respiratory events, such as apneas and hypopneas, can be autonomously detected through the analysis of multi-spectral image data. This represents the first step towards a fully automatic and contactless diagnosis of OSA. We conducted a trial patient study in a sleep laboratory and evaluated our results in comparison with PSG, the gold standard in sleep diagnostics. In a study sample with three patients, 24 hours of recorded video materials and 245 respiratory events, we have achieved a classification accuracy of 82 % with a random forest classifier.

Paper Citation

in Harvard Style

Alić B., Zauber T., Zhang C., Liao W., Wildenauer A., Leosz N., Eggert T., Dietz-Terjung S., Sutharsan S., Weinreich G., Schöbel C., Notni G., Wiede C. and Seidl K. (2023). Contactless Optical Detection of Nocturnal Respiratory Events. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 336-344. DOI: 10.5220/0011694400003417

in Bibtex Style

@conference{visapp23,
author={Belmin Alić and Tim Zauber and Chen Zhang and Wang Liao and Alina Wildenauer and Noah Leosz and Torsten Eggert and Sarah Dietz-Terjung and Sivagurunathan Sutharsan and Gerhard Weinreich and Christoph Schöbel and Gunther Notni and Christian Wiede and Karsten Seidl},
title={Contactless Optical Detection of Nocturnal Respiratory Events},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={336-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011694400003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Contactless Optical Detection of Nocturnal Respiratory Events
SN - 978-989-758-634-7
AU - Alić B.
AU - Zauber T.
AU - Zhang C.
AU - Liao W.
AU - Wildenauer A.
AU - Leosz N.
AU - Eggert T.
AU - Dietz-Terjung S.
AU - Sutharsan S.
AU - Weinreich G.
AU - Schöbel C.
AU - Notni G.
AU - Wiede C.
AU - Seidl K.
PY - 2023
SP - 336
EP - 344
DO - 10.5220/0011694400003417
PB - SciTePress