Machine Learning, Big Data, and IoT for Medical Informatics

Chapter 6: Estimating the respiratory rate from ECG and PPG using machine learning techniques

Wenhan Tan; Anup Das    Electrical and Computer Engineering, Drexel University, Philadelphia, PA, United States

Abstract

Today’s methods for estimating respiratory rate (RR) from the electrocardiograph (ECG) and the photoplethysmogram (PPG) are not good at distinguishing between periods of low- and high-quality data or raw signals. The goal of this work is to present an alternative way of estimating respiratory rate from ECG and PPG by using machine learning to improve the accuracy of estimation. The datasets used in this work are extracted from a publicly available source, the BIDMC dataset. The proposed methods are based on respiratory signals ...