Advanced Search
DSpace@MIT

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

Research and Teaching Output of the MIT Community

Show simple item record

dc.contributor.author Poh, Ming-Zher
dc.contributor.author McDuff, Daniel Jonathan
dc.contributor.author Picard, Rosalind W.
dc.date.accessioned 2011-10-13T16:31:04Z
dc.date.available 2011-10-13T16:31:04Z
dc.date.issued 2010-05
dc.date.submitted 2010-04
dc.identifier.issn 1094-4087
dc.identifier.uri http://hdl.handle.net/1721.1/66243
dc.description.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. en_US
dc.description.sponsorship Massachusetts Institute of Technology. Media Laboratory en_US
dc.description.sponsorship Things That Think Consortium en_US
dc.description.sponsorship Nancy Lurie Marks Family Foundation en_US
dc.language.iso en_US
dc.publisher Optical Society of America en_US
dc.relation.isversionof http://dx.doi.org/10.1364/OE.18.010762 en_US
dc.rights 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. en_US
dc.source Optical Society en_US
dc.title Non-contact, automated cardiac pulse measurements using video imaging and blind source separation en_US
dc.type Article en_US
dc.identifier.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. en_US
dc.contributor.department Harvard University--MIT Division of Health Sciences and Technology en_US
dc.contributor.department Massachusetts Institute of Technology. Media Laboratory en_US
dc.contributor.department Program in Media Arts and Sciences (Massachusetts Institute of Technology) en_US
dc.contributor.approver Picard, Rosalind W.
dc.contributor.mitauthor Poh, Ming-Zher
dc.contributor.mitauthor McDuff, Daniel Jonathan
dc.contributor.mitauthor Picard, Rosalind W.
dc.relation.journal Optics Express en_US
dc.identifier.mitlicense PUBLISHER_POLICY en_US
dc.eprint.version Final published version en_US
dc.type.uri http://purl.org/eprint/type/JournalArticle en_US
eprint.status http://purl.org/eprint/status/PeerReviewed en_US
dspace.orderedauthors Poh, Ming-Zher; McDuff, Daniel J.; Picard, Rosalind W. en


Files in this item

Name Size Format
Downloadable Full Text - PDF

This item appears in the following Collection(s)

Show simple item record

Open Access