Novel health monitoring method using an RGB camera

In this paper we present a novel health monitoring method by estimating the heart rate and respiratory rate using an RGB camera. The heart rate and the respiratory rate are estimated from the photoplethysmography (PPG) and the respiratory motion. The method mainly operates by using the green spectru...

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Main Authors: Hassan, M.A., Malik, A.S., Fofi, D., Saad, N., Meriaudeau, F.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19297 /
Published: OSA - The Optical Society 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792909&doi=10.1364%2fBOE.8.004838&partnerID=40&md5=c3125b2cd0b2733912fc39283f30d4e2
http://eprints.utp.edu.my/19297/
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spelling utp-eprints.192972018-05-03T02:10:20Z Novel health monitoring method using an RGB camera Hassan, M.A. Malik, A.S. Fofi, D. Saad, N. Meriaudeau, F. In this paper we present a novel health monitoring method by estimating the heart rate and respiratory rate using an RGB camera. The heart rate and the respiratory rate are estimated from the photoplethysmography (PPG) and the respiratory motion. The method mainly operates by using the green spectrum of the RGB camera to generate a multivariate PPG signal to perform multivariate de-noising on the video signal to extract the resultant PPG signal. A periodicity based voting scheme (PVS) was used to measure the heart rate and respiratory rate from the estimated PPG signal. We evaluated our proposed method with a state of the art heart rate measuring method for two scenarios using the MAHNOB-HCI database and a self collected naturalistic environment database. The methods were furthermore evaluated for various scenarios at naturalistic environments such as a motion variance session and a skin tone variance session. Our proposed method operated robustly during the experiments and outperformed the state of the art heart rate measuring methods by compensating the effects of the naturalistic environment. © 2017 Optical Society of America. OSA - The Optical Society 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792909&doi=10.1364%2fBOE.8.004838&partnerID=40&md5=c3125b2cd0b2733912fc39283f30d4e2 Hassan, M.A. and Malik, A.S. and Fofi, D. and Saad, N. and Meriaudeau, F. (2017) Novel health monitoring method using an RGB camera. Biomedical Optics Express, 8 (11). pp. 4838-4854. http://eprints.utp.edu.my/19297/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this paper we present a novel health monitoring method by estimating the heart rate and respiratory rate using an RGB camera. The heart rate and the respiratory rate are estimated from the photoplethysmography (PPG) and the respiratory motion. The method mainly operates by using the green spectrum of the RGB camera to generate a multivariate PPG signal to perform multivariate de-noising on the video signal to extract the resultant PPG signal. A periodicity based voting scheme (PVS) was used to measure the heart rate and respiratory rate from the estimated PPG signal. We evaluated our proposed method with a state of the art heart rate measuring method for two scenarios using the MAHNOB-HCI database and a self collected naturalistic environment database. The methods were furthermore evaluated for various scenarios at naturalistic environments such as a motion variance session and a skin tone variance session. Our proposed method operated robustly during the experiments and outperformed the state of the art heart rate measuring methods by compensating the effects of the naturalistic environment. © 2017 Optical Society of America.
format Article
author Hassan, M.A.
Malik, A.S.
Fofi, D.
Saad, N.
Meriaudeau, F.
spellingShingle Hassan, M.A.
Malik, A.S.
Fofi, D.
Saad, N.
Meriaudeau, F.
Novel health monitoring method using an RGB camera
author_sort Hassan, M.A.
title Novel health monitoring method using an RGB camera
title_short Novel health monitoring method using an RGB camera
title_full Novel health monitoring method using an RGB camera
title_fullStr Novel health monitoring method using an RGB camera
title_full_unstemmed Novel health monitoring method using an RGB camera
title_sort novel health monitoring method using an rgb camera
publisher OSA - The Optical Society
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792909&doi=10.1364%2fBOE.8.004838&partnerID=40&md5=c3125b2cd0b2733912fc39283f30d4e2
http://eprints.utp.edu.my/19297/
_version_ 1741196184442109952
score 11.62408

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