
pmid: 28113245
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.
Blood Volume, Blood Volume Determination, Light, Monitoring, Ambulatory, Reproducibility of Results, Models, Biological, Sensitivity and Specificity, colors, remote sensing, Skin Physiological Phenomena, Image Interpretation, Computer-Assisted, Remote Sensing Technology, Photography, Humans, Scattering, Radiation, photoplethysmography, Colorimetry, Computer Simulation, Photoplethysmography, Biomedical monitoring, Algorithms, Blood Flow Velocity
Blood Volume, Blood Volume Determination, Light, Monitoring, Ambulatory, Reproducibility of Results, Models, Biological, Sensitivity and Specificity, colors, remote sensing, Skin Physiological Phenomena, Image Interpretation, Computer-Assisted, Remote Sensing Technology, Photography, Humans, Scattering, Radiation, photoplethysmography, Colorimetry, Computer Simulation, Photoplethysmography, Biomedical monitoring, Algorithms, Blood Flow Velocity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 703 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
