STUDY OF IMAGING PHTOPLETHYSMOGRAM ( IPPG) FOR NON-CONTACT PULSE RATE MEASUREMENT

Abstract

In this thesis, I have studied about non-contact detection of pulse rate, pertaining to the recent covid times. Heart rate is a reliable measure of an individual's current physiological state, which includes studies of cognitive and emotional state, as well as routine health exams, for human beings. Heart rate can be estimated non-invasively via pulse rate, which is connected with changes in the optical characteristics of the skin tissue (imaging Photoplethysmogram, iPPG). However, there is no well-established approach for measuring pulse rates in awake and behaving animals that is easy and non-invasive. On a public dataset, this study aims to provide an algorithmic framework for comparing techniques of pulse rate estimate utilizing imaging photoplethysmography (iPPG). In this article, we outline the key processes in the calculation of pulse rate from facial video and discuss the methodologies used at each stage. An analysis of signal processing algorithms for heart rate estimation, important parameters, and a comparison to industry standards are all included in the study. Using a simple, low cost, multi-purpose screening method like this one allows us to gain relevant information about heart rate. As a result, heart rate monitoring can be used for mass screening in a cost effective and offer significant benefits, making this technology attractive