Comparing Remote Heart Rate Accuracy Using Different Wavelengths

Abstract

Remote Heart Rate monitoring is a method of measuring Heart Rates using remote-Photoplethysmography signals obtained from image and signal processing. A set of facial images are collected and processed to extract the RGB values which varies due to the change. in blood volume in the blood vessels relative to respiration. Researchers have found multiple method of extracting the r-PPG signal, some have opted for specialized cameras while some uses advanced signal processing methods. Besides hardware and software chooses, researchers also have been debating on the three different wavelengths, Red, Green and Blue. This paper compares the Red, Green and Blue wavelengths from 20 set of pictures to study the best wavelength to be used for RHR measurements. The Heart rate from the 3 wavelengths is calculated and compared with a baseline HR. This paper introduces a RHR measuring system by comparing all 3 wavelengths, Red, Green and Blue with an average mean error of 11.7779%, 6.0633% and 8.6780% respectively introducing the green wavelength as the best wavelength for RHR monitoring.