eprintid: 8189
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/81/89
datestamp: 2023-11-09 16:20:03
lastmod: 2023-11-09 16:20:03
status_changed: 2023-11-09 16:12:01
type: article
metadata_visibility: show
creators_name: Hassan, M.A.
creators_name: Malik, A.S.
creators_name: Fofi, D.
creators_name: Saad, N.
creators_name: Meriaudeau, F.
title: Novel health monitoring method using an RGB camera
ispublished: pub
keywords: Cameras; Monitoring; Photoplethysmography; Signal denoising; Signal processing, Health monitoring method; Measuring method; Photoplethysmography (PPG); Respiratory motions; Respiratory rate; State of the art; Video signal; Voting schemes, Heart, breathing rate; heart rate; monitoring; motion; periodicity; photoelectric plethysmography; skin; videorecording
note: cited By 25
abstract: 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.
date: 2017
publisher: OSA - The Optical Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792909&doi=10.1364%2fBOE.8.004838&partnerID=40&md5=c3125b2cd0b2733912fc39283f30d4e2
id_number: 10.1364/BOE.8.004838
full_text_status: none
publication: Biomedical Optics Express
volume: 8
number: 11
pagerange: 4838-4854
refereed: TRUE
issn: 21567085
citation:   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.  ISSN 21567085