Novel feature for quantifying temporal variability of Poincaré plot: A case study

Abstract

The Poincaré plot of RR intervals is one of the most popular techniques used in heart rate variability (HRV) analysis. The standard descriptors SD1 and SD2 of Poincaré plot represents the distribution of signal by quantifying spatial (shape) information. The present study proposes a novel descriptor, Complex Correlation Measure (CCM), to quantify changes in temporal structure of points of Poincaré plots. To compare performance of CCM with standard Poincaré descriptor SD1 and SD2, we have calculated ROC area for each descriptor between Normal Sinus Rhythm (NSR) and Congestive Heart Failure (CHF) subjects. The RR intervals of 54 NSR subjects and 29 CHF subjects from Physionet NSR and CHF datab..