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

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

Guler, Saygun
•
Ozturk, Ozberk
•
Golparvar, Ata  
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August 29, 2022
Physical And Engineering Sciences In Medicine

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.

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Type
research article
DOI
10.1007/s13246-022-01175-7
Web of Science ID

WOS:000847264600001

Author(s)
Guler, Saygun
Ozturk, Ozberk
Golparvar, Ata  
Dogan, Huseyin
Yapici, Murat Kaya
Date Issued

2022-08-29

Publisher

SPRINGER

Published in
Physical And Engineering Sciences In Medicine
Subjects

Engineering, Biomedical

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Radiology, Nuclear Medicine & Medical Imaging

•

Engineering

•

remote photoplethysmography (rppg)

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vital signs measurements

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heart rate

•

digital health

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health-care applications

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neural-network

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pulse

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ICLAB  
Available on Infoscience
September 12, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/190720
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