A Comparative approach to ascertain respiratory parameters from single channel ECG

Abstract

Respiration rate is a crucial parameter for monitoring respiratory health. This study analyses and compares various techniques for estimating respiration rate from electrocardiogram (ECG) signals. Multiple approaches for calculating single-lead ECG-derived respiration (EDR) were investigated under diverse conditions, including baseline wander, different recording devices, and various breathing patterns. A reference respiratory signal was used to evaluate the accuracy of each method. The results show that the phase space reconstruction area method outperformed other state-of-the-art approaches, achieving the maximum mean correlation. This method demonstrated high accuracy and reliability in estimating respiration rate from ECG signals. The study provides a comprehensive review and comparative analysis of various techniques for estimating respiration rate from ECG signals. The findings suggest that the phase space reconstruction area method is the most accurate and reliable approach, making it a valuable tool for healthcare monitoring applications. This method has significant potential for monitoring respiratory health, particularly in situations where traditional respiratory monitoring methods are impractical or unreliable.