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Effects of illuminance intensity on the green channel of remote photoplethysmography (rPPG) signals.

Guler, S., Ozturk, O., Golparvar, A., Dogan, H. and Yapici, M. K., 2022. Effects of illuminance intensity on the green channel of remote photoplethysmography (rPPG) signals. Physical and Engineering Sciences in Medicine. (In Press)

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DOI: 10.1007/s13246-022-01175-7

Abstract

Point-of-care remote photoplethysmography (rPPG) devices that utilize low-cost RGB cameras have drawn considerable attention due to their convenience in contactless and non-invasive vital signs monitoring. In rPPG, sufficient lighting conditions are essential for obtaining accurate diagnostics by observing the complete signal morphology. The effects of illuminance intensity and light source settings play a significant role in rPPG assessment quality, and it was previously observed that different lighting schemes result in different signal quality and morphology. This study presents a quantitative empirical analysis where the quality and morphology of rPPG signals were assessed under different light settings. Participants' faces were exposed to the white LED spotlight, first when the sources were installed directly behind the video camera, and then when the sources were installed in a cross-polarized scheme. Hence, the effect of specular reflectance on rPPG signals could be observed in an increasing projection. The signal qualities were analyzed in each intensity level using a signal-to-noise (SNR) ratio metric. In 3 of 7 participants, placing the video camera on the same level as the light source led to signal quality loss of up to 3 dB for the range 30-60 Lux. In addition, two fundamental morphological features were analyzed, and the derivative-related feature was found to be increasing with illuminance intensity in 6 of 7 participants.

Item Type:Article
ISSN:2662-4729
Uncontrolled Keywords:Digital health;Health-care applications;Heart rate;Remote photoplethysmography (rPPG);Vital signs measurements
Group:Faculty of Science & Technology
ID Code:37452
Deposited By: Symplectic RT2
Deposited On:07 Sep 2022 08:33
Last Modified:07 Sep 2022 08:33

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