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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 18, Iss. 10 — May. 10, 2010
  • pp: 10762–10774

Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.

Ming-Zher Poh, Daniel J. McDuff, and Rosalind W. Picard  »View Author Affiliations


Optics Express, Vol. 18, Issue 10, pp. 10762-10774 (2010)
http://dx.doi.org/10.1364/OE.18.010762


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Abstract

Remote measurements of the cardiac pulse can provide comfortable physiological assessment without electrodes. However, attempts so far are non-automated, susceptible to motion artifacts and typically expensive. In this paper, we introduce a new methodology that overcomes these problems. This novel approach can be applied to color video recordings of the human face and is based on automatic face tracking along with blind source separation of the color channels into independent components. Using Bland-Altman and correlation analysis, we compared the cardiac pulse rate extracted from videos recorded by a basic webcam to an FDA-approved finger blood volume pulse (BVP) sensor and achieved high accuracy and correlation even in the presence of movement artifacts. Furthermore, we applied this technique to perform heart rate measurements from three participants simultaneously. This is the first demonstration of a low-cost accurate video-based method for contact-free heart rate measurements that is automated, motion-tolerant and capable of performing concomitant measurements on more than one person at a time.

© 2010 OSA

OCIS Codes
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(280.0280) Remote sensing and sensors : Remote sensing and sensors

ToC Category:
Medical Optics and Biotechnology

History
Original Manuscript: February 12, 2010
Revised Manuscript: April 30, 2010
Manuscript Accepted: May 6, 2010
Published: May 7, 2010

Virtual Issues
Vol. 5, Iss. 9 Virtual Journal for Biomedical Optics

Citation
Ming-Zher Poh, Daniel J. McDuff, and Rosalind W. Picard, "Non-contact, automated cardiac pulse measurements using video imaging and blind source separation," Opt. Express 18, 10762-10774 (2010)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-18-10-10762


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