TY  - JOUR
EP  - 4854
SN  - 21567085
PB  - OSA - The Optical Society
SP  - 4838
TI  - Novel health monitoring method using an RGB camera
N1  - cited By 25
AV  - none
VL  - 8
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792909&doi=10.1364%2fBOE.8.004838&partnerID=40&md5=c3125b2cd0b2733912fc39283f30d4e2
A1  - Hassan, M.A.
A1  - Malik, A.S.
A1  - Fofi, D.
A1  - Saad, N.
A1  - Meriaudeau, F.
JF  - Biomedical Optics Express
Y1  - 2017///
KW  - Cameras; Monitoring; Photoplethysmography; Signal denoising; Signal processing
KW  -  Health monitoring method; Measuring method; Photoplethysmography (PPG); Respiratory motions; Respiratory rate; State of the art; Video signal; Voting schemes
KW  -  Heart
KW  -  breathing rate; heart rate; monitoring; motion; periodicity; photoelectric plethysmography; skin; videorecording
ID  - scholars8189
N2  - 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.
IS  - 11
ER  -