Contactless camera-based AHI score estimation in SAS patients

Abstract: Sleep apnea syndrome (SAS) is a common sleeprelated breathing disorder characterized by recurring cessations of airflow during sleep. The gold standard for diagnosing SAS is polysomnography (PSG) which requires the patient to spend one or several nights in a sleep clinic. A PSG involves a significant amount of contact-based sensors, which leads to discomfort and deviations in sleep behavior. In this work, a contactless, multispectral camera-based approach for the autonomous detection of events of nocturnal airflow reduction is presented. The detected events are further employed in estimators of sleep diagnostic metrics, such as the apnea-hypopnea index (AHI) and the SAS stage. The AHI estimation resulted in a Pearson correlation coefficient of r = 0.9993. The SAS stage estimator correctly predicted the SAS stage for all three recruited patients.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Contactless camera-based AHI score estimation in SAS patients ; volume:9 ; number:1 ; year:2023 ; pages:218-221 ; extent:4
Current directions in biomedical engineering ; 9, Heft 1 (2023), 218-221 (gesamt 4)

Urheber
Alic, Belmin
Zauber, Tim
Viga, Reinhard
Seidl, Karsten
Wiede, Christian

DOI
10.1515/cdbme-2023-1055
URN
urn:nbn:de:101:1-2023092214191812417937
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 11:00 MESZ

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Beteiligte

  • Alic, Belmin
  • Zauber, Tim
  • Viga, Reinhard
  • Seidl, Karsten
  • Wiede, Christian

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