Lagged Poincaré and auto-correlation analysis of Heart rate variability in diabetes
arXiv:1005.5221
Abstract
The heart rate variability (HRV) in diabetic human subjects, has been analyzed using lagged Poincaré plot, auto-correlation and the detrended fluctuation analysis methods. The parameters , and for Poincaré plot for diabetic are lower than that for non-diabetic subjects and reverse is case for 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 and auto-correlation method appear to be better way to assess the alteration of regulatory system on heart dynamics in diabetic condition.
15 pages, 6 Figures