Algorithmic Principles of Remote PPG
This paper introduces a mathematical model that incorporates the pertinent optical and physiological properties of skin reflections with the objective to increase our understanding of the algorithmic principles behind remote photoplethysmography (rPPG). The model is used to explain the different cho...
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| Published in | IEEE transactions on biomedical engineering Vol. 64; no. 7; pp. 1479 - 1491 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
IEEE
01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper introduces a mathematical model that incorporates the pertinent optical and physiological properties of skin reflections with the objective to increase our understanding of the algorithmic principles behind remote photoplethysmography (rPPG). The model is used to explain the different choices that were made in existing rPPG methods for pulse extraction. The understanding that comes from the model can be used to design robust or application-specific rPPG solutions. We illustrate this by designing an alternative rPPG method, where a projection plane orthogonal to the skin tone is used for pulse extraction. A large benchmark on the various discussed rPPG methods shows that their relative merits can indeed be understood from the proposed model. |
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| AbstractList | This paper introduces a mathematical model that incorporates the pertinent optical and physiological properties of skin reflections with the objective to increase our understanding of the algorithmic principles behind remote photoplethysmography (rPPG). The model is used to explain the different choices that were made in existing rPPG methods for pulse extraction. The understanding that comes from the model can be used to design robust or application-specific rPPG solutions. We illustrate this by designing an alternative rPPG method, where a projection plane orthogonal to the skin tone is used for pulse extraction. A large benchmark on the various discussed rPPG methods shows that their relative merits can indeed be understood from the proposed model. |
| Author | de Haan, Gerard den Brinker, Albertus C. Stuijk, Sander Wang, Wenjin |
| Author_xml | – sequence: 1 givenname: Wenjin surname: Wang fullname: Wang, Wenjin email: w.wang@tue.nl organization: Department of Electrical Engineering, Electronic Systems Group, Eindhoven University of Technology, Eindhoven, AZ, The Netherlands – sequence: 2 givenname: Albertus C. surname: den Brinker fullname: den Brinker, Albertus C. organization: Philips Innovation GroupPhilips Research Eindhoven – sequence: 3 givenname: Sander surname: Stuijk fullname: Stuijk, Sander organization: Department of Electrical Engineering, Electronic Systems Group, Eindhoven University of Technology, Eindhoven, AZ, The Netherlands – sequence: 4 givenname: Gerard surname: de Haan fullname: de Haan, Gerard organization: Philips Innovation GroupPhilips Research Eindhoven |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28113245$$D View this record in MEDLINE/PubMed |
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| CODEN | IEBEAX |
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| Cites_doi | 10.1109/TBME.2010.2086456 10.1007/s10916-016-0439-z 10.4108/eai.14-10-2015.2261589 10.1117/1.JBO.17.7.077011 10.1364/OE.16.021434 10.1109/CVPR.2016.263 10.1109/CVPR.2014.543 10.1109/EMBC.2014.6944455 10.1109/ICIP.2016.7532795 10.1109/TBME.2013.2266196 10.1117/1.JBO.20.4.048002 10.1016/j.hrthm.2014.08.035 10.1109/TBME.2014.2356291 10.1109/EMBC.2014.6944243 10.1109/TBME.2015.2508602 10.1088/0967-3334/35/5/807 10.1109/T-AFFC.2011.25 10.1364/BOE.6.001565 10.1088/0967-3334/35/9/1913 10.1364/BOE.6.003320 |
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