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

Güler, Saygun and Öztürk, Özberk and Jedari Golparvar, Ata and Doğan, Hüseyin and Yapıcı, Murat Kaya (2022) Effects of illuminance intensity on the green channel of remote photoplethysmography (rPPG) signals. Physical and Engineering Sciences in Medicine . ISSN 2662-4729 (Print) 2662-4737 (Online) Published Online First http://dx.doi.org/10.1007/s13246-022-01175-7

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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
Uncontrolled Keywords: Remote photoplethysmography (rPPG); Vital signs measurements; Heart rate; Digital health; Health-care applications
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Murat Kaya Yapıcı
Date Deposited: 28 Sep 2022 09:45
Last Modified: 28 Sep 2022 09:46
URI: https://research.sabanciuniv.edu/id/eprint/44967

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