Literature DB >> 36036875

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

Saygun Guler1, Ozberk Ozturk2, Ata Golparvar2,3, Huseyin Dogan4, Murat Kaya Yapici2,5.   

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.
© 2022. Australasian College of Physical Scientists and Engineers in Medicine.

Entities:  

Keywords:  Digital health; Health-care applications; Heart rate; Remote photoplethysmography (rPPG); Vital signs measurements

Year:  2022        PMID: 36036875     DOI: 10.1007/s13246-022-01175-7

Source DB:  PubMed          Journal:  Phys Eng Sci Med        ISSN: 2662-4729


  12 in total

1.  A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation.

Authors:  Wenjin Wang; Sander Stuijk; Gerard de Haan
Journal:  IEEE Trans Biomed Eng       Date:  2015-12-17       Impact factor: 4.538

2.  Improved motion robustness of remote-PPG by using the blood volume pulse signature.

Authors:  G de Haan; A van Leest
Journal:  Physiol Meas       Date:  2014-08-27       Impact factor: 2.833

Review 3.  Photoplethysmography and its application in clinical physiological measurement.

Authors:  John Allen
Journal:  Physiol Meas       Date:  2007-02-20       Impact factor: 2.833

4.  Robust pulse rate from chrominance-based rPPG.

Authors:  Gerard de Haan; Vincent Jeanne
Journal:  IEEE Trans Biomed Eng       Date:  2013-06-04       Impact factor: 4.538

5.  Lock-in technique for extraction of pulse rates and associated confidence levels from video.

Authors:  Adam Eaton; Karthik Vishwanath; Chi-Hao Cheng; E Paige Lloyd; Kurt Hugenberg
Journal:  Appl Opt       Date:  2018-06-01       Impact factor: 1.980

6.  Robust efficient estimation of heart rate pulse from video.

Authors:  Shuchang Xu; Lingyun Sun; Gustavo Kunde Rohde
Journal:  Biomed Opt Express       Date:  2014-03-10       Impact factor: 3.732

Review 7.  Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging.

Authors:  Yu Sun; Nitish Thakor
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-15       Impact factor: 4.538

8.  Textile band electrodes as an alternative to spot Ag/AgCl electrodes for calf bioimpedance measurements.

Authors:  Ke Wang; Dylan Zelko; Maggie Delano
Journal:  Biomed Phys Eng Express       Date:  2019-12-19

9.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.

Authors:  Ming-Zher Poh; Daniel J McDuff; Rosalind W Picard
Journal:  Opt Express       Date:  2010-05-10       Impact factor: 3.894

10.  Remote plethysmographic imaging using ambient light.

Authors:  Wim Verkruysse; Lars O Svaasand; J Stuart Nelson
Journal:  Opt Express       Date:  2008-12-22       Impact factor: 3.894

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