Algorithms for monitoring heart rate and respiratory rate from the video of a user’s face
Smartphone cameras can measure heart rate (HR) by detecting pulsatile photoplethysmographic (iPPG) signals from post-processing the video of a subject’s face. The iPPG signal is often derived from variations in the intensity of the green channel as shown by Poh et. al., and Verkruysse et. al.. In this pilot study, we have introduced a novel iPPG method where by measuring variations in color of reflected light i.e. Hue, and can therefore measure both HR and respiratory rate (RR) from the video of a subject’s face.