Lagged Poincar\'{e} and auto-correlation analysis of Heart rate variability in diabetes

TL;DR

This study analyzes heart rate variability in diabetic and non-diabetic subjects using lagged Poincaré plots, auto-correlation, and detrended fluctuation analysis, revealing significant differences in heart dynamics.

Contribution

It introduces the use of curvature of SD12 and auto-correlation as effective methods to assess heart regulation alterations in diabetes.

Findings

Lower SD1 and SD12 in diabetics indicating reduced variability.

Higher detrended fluctuation exponent in diabetics.

Stronger auto-correlation patterns in diabetic heart rate deviations.

Abstract

The heart rate variability (HRV) in diabetic human subjects, has been analyzed using lagged Poincar\'{e} plot, auto-correlation and the detrended fluctuation analysis methods. The parameters $SD1$, and $SD12 (= SD1/SD2)$ for Poincar\'{e} plot for diabetic are lower than that for non-diabetic subjects and reverse is case for $SD2$ for all lagged number (m). The slope and the curvature of the plot SD12 vs m is much reduced for diabetic subject. The scatter plot of two successive interbeat intervals points out smaller variability in diabetic heart. The detrended fluctuation exponent has a higher value for diabetic group. The auto-correlation function of the deviation of interbeat interval in diabetic group shows highly correlated pattern when compared to that of normal one. The study suggests that the curvature of $SD12$ and auto-correlation method appear to be better way to assess the alteration of regulatory system on heart dynamics in diabetic condition.