Engineering & Technology

Engineering & Technology

Measurements of Non Contact, Physiological Multi Parameter Using a Web Cam

Pages: 6  ,  Volume: 2  ,  Issue: 1 , March   2018
Received: 20 Mar 2018  ,  Published: 23 April 2018
Views: 165  ,  Download: 90


# Author Name
1 Devarajan


This project presents a simple, low-cost method for measuring multiple physiological parameters using a basic webcam. Photoplethysmography (PPG) is a low-cost and non-invasive means of sensing the cardiovascular blood volume pulse (BVP) through variations in transmitted or reflected light sources. By applying independent component analysis on the color channels in video recordings. We extracted the blood volume pulse from the facial regions. Heart rate (HR), respiratory rate, and HR variability (HRV, an index for cardiac  autonomic  activity)  were  subsequently quantified  and  compared  to  corresponding measurements using Food and Drug Administration- approved sensors. High degrees of agreement were achieved between the measurements across all physiological  parameters.  This  technology  has significant potential for advancing personal health care and telemedicine.


  • blood volume pulse
  • Autonomic nervous system
  • heart rate variability
  • independent component analysis
  • remote sensing
  • References

    [1]  M.Garbey, N.Sun, A.Merla and I.Pavlidis, “Contact-free measurement  of  cardiac  pulse  based  on  the  analysis  of thermal imagery,”IEEE Trans.Biomed.Eng., vol.54, no.8, pp.1418-1426 Aug 2007.

    [2]    E.Gil,M.Orini,R.  Bail  on,  J.  Vergara,  L.  Mainardi  and  P.

    Laguna, Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non- stationary      conditions,”Physiol.Meas.,       vol.31,pp.1271-


    [3]    J.Fei and I. Pavlidis, “Thermistor at a distance unobtrusive measurements of breathing, “IEEE Trans.Biomed.Eng., vol.57, no.4, pp.988-998 April 2009.

    [4]    Photoplethysmography   Blood   Pressure   Measurement   by Cheah Kim Wei(U016319H) Department of Mechanical Engineering, National University of Singapore.

    [5]  M.P.Tarvainen, P.O. Ranta-Aho and P.A.Karjalainen,”An advanced detrending method with application to HRV analysis,”IEEE Trans.Biomed.Eng.,vol.49, no.2,pp.172-175, Feb 2002.

    [6] Photoplethysmography and its application in clinical physiological measurement John Allen Regional Medical Physics  Department,  Freeman  Hospital,  Newcastle  upon Tyne NE77DN, UK.

    [7]    J.  Vila,  F.  Palacios,  J.  Presedo, M. FernandezDelgado, P.

    Felix and S. Barro,”Time-frequency analysis of heart-rate variability.”IEEE  Eng.  Med.  Biol.  Mag.,  vol.16, no.5,pp.119-126,Sep/Oct 1997.

    [8]  Independent   Component   Analysis:   Algorithms   and Applications Aapo Hyvrinen and Erkki Oja Neural Networks Research Centre Helsinki University of Technology P.O.Box

    5400,  FIN-02015  HUT,  Finland  Neural  Networks,  13(4-


    [9]    Averaged  Lomb  Periodograms  for  Nonuniform  sampling Thong T1,  McNames J2, Aboy M2, Oken B31 Dept Bio medical Engineering, OGI/Oregon Health & Science University, 2Biomedical Signal Processing Laboratory, Dept of Electrical & Computer Engineering, Portland State University, 3 Dept Neurology, Oregon Health & Science University.