Thermal Imaging for Respiration Monitoring in Sleeping Positions: A Single Camera is Enough

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Samenvatting

Polysomnography, the current gold standard for sleep monitoring, uses multiple obtrusive contact sensors for the assessment of respiration and flow. This could partially be overcome by using thermal cameras. For accurate estimation of breathing parameters, it is important to understand how many cameras should be used and where they should be placed during overnight recordings. This study used low-cost/low-resolution thermal cameras to collect videos from 25 healthy subjects to evaluate the optimal camera placement for the monitoring of respiration. The accuracy of the camera setup was measured for a different number of cameras and positions. For the different setups, the results show that the mean absolute error ranges between 17% and 22%, the precision between 83% and 85%, the sensitivity is 96%, and the F1-scores lie between 88% and 90%. Results for all setup variations are not statistically significantly different. These findings indicate that there is no necessity to compromise between experimental feasibility and signal quality, as the various setups examined did not exhibit a significant disparity in the tested parameters.
Originele taal-2Engels
Titel2023 IEEE 13th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2023
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's220-225
Aantal pagina's6
ISBN van elektronische versie979-8-3503-2415-0
DOI's
StatusGepubliceerd - 2 jan. 2024
Evenement2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) - Berlin, Duitsland
Duur: 3 sep. 20235 sep. 2023
https://www.icce-berlin.org/index.html

Congres

Congres2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
Verkorte titelICCE-Berlin
Land/RegioDuitsland
StadBerlin
Periode3/09/235/09/23
Internet adres

Financiering

The work was performed within the Eindhoven MedTech Innovation Center (e/MTIC, incorporating Eindhoven University of Technology, Philips Research, and Sleep Medicine Center Kempenhaeghe). The experiments described in this work were part of the Unobtrusive Monitoring of Sleep Apnea, UMOSA project, funded by NWO (Grant No. 17117)

FinanciersFinanciernummer
Nederlandse Organisatie voor Wetenschappelijk Onderzoek17117

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