PPG Derived Heart Rate Estimation during Intensive Physical Exercise

Abstract

Accurate and reliable estimation of heart rate (HR) from photoplethysmographic (PPG) signals during moderate and vigorous physical activities is a challenging task, since intense motion artifacts can easily disguise the true HR. A novel method for estimating HR from PPG signal, during intensive physical exercise, is presented in this paper. The proposed method employs a recursive Wiener filtering technique for HR estimation from motion artifacts-corrupted PPG signal and simultaneously recorded the triaxial accelerometer signal. The experimental results demonstrated that the average relative error and the average absolute error of the proposed method on a public dataset (IEEE 2015 Signal Proc..