Analysis of Heart Beat Rate through Video Imaging Techniques


  • W. L. Khong Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.
  • N. S. V. Kameswara Rao Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.
  • M. Mariappan Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.
  • M. Nadarajan Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.


Health, Heart Beat Rate, Video Imaging, Noncontact, LabVIEW


Health is the condition of being free from disease or injury either in physically or mentally. To provide a general state of health, analysis of physiological parameters such as heart beat rate, blood pressure, respiratory rate, hemoglobin concentration and etc. are playing an important part. Among these physiological parameters, heart beat rate is the most essential indicator of people’s health state because it is the heart rhythms to circulate the blood flow in the human body. Hence, in clinical diagnosis or for the patient in an intensive care unit, heart beat rate is the parameter that must be recorded and examined. The standard equipment like stethoscope, electrocardiogram, pulse oximetry are normally used for measuring heart beat rate but those equipment required to contact sensors to the human skin. In order to overcome the discomforts caused by the long period attachment of sensors and difficulties faced by patients who have skin damages, this research proposed a noncontact technique to measure heart beat rate through video imaging captured by an ordinary RGB camera. The acquired results from video imaging techniques are achieved more than 90% in accuracy by comparing with the results obtained through biomedical toolkit of LabVIEW. The developed techniques are attractive and suitable for regularly health care monitoring purposes due to its contactless, low cost, convenience, multiple people assessments and continuous benefits.


World Health Organization, “Preamble to the Constitution to the World Health Organization,” International Health Conference, New York, 1946.

N. Ghasemzadeh, and A.M. Zafari, “A Brief Journey into The History of the Arterial Pulse,” Cardiology Research and Practice, pp. 1-14, 2011.

K. Mannapperuma, B.D. Holton, P.J. Lesniewski, and J.C. Thomas, “Performance Limits of ICA-based Heart Rate Identification Techniques in Imaging Photoplethysmography,” Physiological Measurement, vol. 36, no. 2015, pp. 67-83, 2015.

A. Roguin, “Rene Theophile Hyacinthe Laennec (1781-1826): The Man Behind the Stethoscope,” Clinical Medicine & Research, vol. 4, no. 3, pp. 230-235, 2006.

A.M.C. Filadelfi, A. Vieira, and F.M. Louzada, “Circadian Rhythm of Physiological Color Change in The Amphibian Bufo ictericus Under Different Photoperiods,” Comparative Biochemistry and Physiology, Part A, vol. 142, pp. 370-375, 2005.

K.P. Nielsen, L. Zhao, J.J. Stamnes, K. Stamnes, and J. Moan, “The Optics of Human Skin: Aspects Important for Human Health,” Solar Radiation and Human Health, pp. 35-46. 2008.

T. Igarashi, K. Nishino, and S.K. Nayar, “The Appearance of Human Skin: A Survey,” Foundations and Trends in Computer Graphics and Vision, vol. 3, no. 1, pp. 1-95, 2007.

Z. Liu, and J. Zerubia, “Melanin and Hemoglobin Identification for Skin Disease Analysis,” 2013 Asian Conference on Pattern Recognition, pp. 1-5.

M.Z. Poh, D.J. McDuff, and R.W. Picard, “Non-contact, Automated Cardiac Pulse Measurements Using Video Imaging and Blind Source Separation,” Optics Express, vol. 18, no. 10, pp. 10762-10774, 2010.

M. Lewandoska, J. Ruminski, T. Kocejko, and J. Nowak, “Measuring Pulse Rate with a Webcam – A Non-contact Method For Evaluating Cardiac Activity,” 2011 Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 405-410.

M.Z. Poh, D.J. McDuff, and R.W. Picard, “Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam,” IEEE Transactions on Biomedical Engineering, vol. 58, no. 1, pp. 7-11, 2011.

L. Tarassenko, M. Villarroel, A. Guazzi, J. Jorge, D.A. Clifton, and C. Pugh, “Non-contact Video-based Vital Sign Monitoring Using Ambient Light and Auto-Regressive Models,” Physiological Measurement, vol. 35, no. 2014, pp. 807-831, 2014.

G.V.G. Baranoski, and A. Krishnaswamy, A Light & Skin Interactions: Simulations for Computer Graphics Applications, Elsevier Inc. 2010.

H. Liu, Y.D. Wang, and L. Wang, “The Effect of Light Conditions on Photoplethysmographic Image Acquisition Using a Commercial Camera,” Medical Imaging and Diagnostic Radiology, vol. 2, no. 2014, pp. 1-11, 2014.

D.M. Ballesteros, A.E. Gaona, and L.F. Pedraza, Discrete Wavelet Transform – Biomedical Applications, InTech, 2011, pp. 17-32.

D.E. Becker, “Fundamentals of Electrocardiography Interpretation,” Anesth Prog, vol. 53, pp. 53-64, 2006.

B.M Beasley, Understanding EKGs: A Practical Approach 2nd Edition, Pearson Education, Inc. 2003.




How to Cite

Khong, W. L., Kameswara Rao, N. S. V., Mariappan, M., & Nadarajan, M. (2016). Analysis of Heart Beat Rate through Video Imaging Techniques. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(11), 69–74. Retrieved from