Non-contact, automated cardiac pulse measurements using video imaging and blind source separation
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Picard_Noncontact Automated.pdf
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Author(s)
Poh, Ming-Zher
McDuff, Daniel Jonathan
Picard, Rosalind W.
Date Issued
May 2010
Journal
Optics Express
Publisher
Optical Society of America
Citation
Poh, Ming-Zher, Daniel J. McDuff, and Rosalind W. Picard. “Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.” Optics Express 18 (2010): 10762. ©2011 Optical Society of America.
Version
Final published version
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1364/OE.18.010762
