A Robust Remote Photoplethysmography Method
Alexey Protopopov

TL;DR
This paper introduces a robust remote photoplethysmography method that accurately measures heart rate remotely using a camera, even under realistic conditions with movement and lighting variations, outperforming previous approaches.
Contribution
It presents a new mathematical transform-based rPPG method that is more resistant to distortions and works with minimal hardware modifications.
Findings
Average mean absolute error of 1.95 bpm
Outperforms previous methods in accuracy
Works with unmodified cameras
Abstract
Remote photoplethysmography (rPPG) is a method for measuring a subjects heart rate remotely using a camera. Factors such as subject movement, ambient light level, makeup etc. complicate such measurements by distorting the observed pulse. Recent works on this topic have proposed a variety of approaches for accurately measuring heart rate in humans, however these methods were tested in ideal conditions, where the subject does not make significant movements and all measurements are taken at the same level of illumination. In more realistic conditions these methods suffer from decreased accuracy. The study proposes a more robust method that is less susceptible to distortions and has minimal hardware requirements. The proposed method uses a combination of mathematical transforms to calculate the subjects heart rate. It performs best when used with a camera that has been modified by removing…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · Hemodynamic Monitoring and Therapy · Air Quality Monitoring and Forecasting
