Poincaré plot indexes of heart rate variability: Relationships with other nonlinear variables (original) (raw)
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Australian and New Zealand journal of medicine, 1995
Conventional methods of quantifying heart rate variability using summary statistics have shown that decreased variability is associated with increased mortality in heart failure. However, many patients with heart failure have arrhythmias which make the 'raw' heart rate variability data less suitable for the use of summary statistical measures. To examine the clinical potential of a new measure of heart rate variability data, presented by the Poincaré plot pattern, as an adjunct to the summary statistical measures of R-R interval variability. We used the Poincaré plot pattern to display beat-to-beat heart rate variability data from a group of 23 patients with heart failure and compared them with data collected from 20 healthy age-matched control subjects. The data, which consists of 2000 consecutive R-R intervals, were gathered over 20-40 minutes while the subjects rested supine in a quiet darkened room. The morphological classification scheme proposed reflected the functiona...
Poincaré Plot of RR-Interval Differences (PORRID) A New Method for Assessing Heart Rate Variability
2014
Interaction of sympathetic and parasympathetic nervous systems result in variation of RR interval (variation of heart rate) appeared significantly and related to physiological (or pathological) conditions. Heart rate variabiliy (HRV) is a non-invasive index of the neural control of the heart. The control of heart rate has mainly involve nonlinear mechanism so that the application of non linear techniques seems more suitable for HRV analysis. Poincare plot is one of the non linear techniques used for ascertaining the HRV, which in turn is a marker of the activity of the autonomic system. Analysis of a conventional Poincare plots that use only successive RRI duplets will underestimate the ability of heart beats to influence a train of succeeding beats. A new method for assessing HRV has developed, namely Poincare Plot of RR Interval Differences (PORRID). PORRID is a graphical representation of the variation of RR intervals difference (RRI) that form a pattern around the origin. The P...
2003
The article emphasizes clinical and prognostic significance of non-linear measures of the heart rate variability, applied on the group of patients with coronary heart disease (CHD) and age-matched healthy control group. Three different methods were applied: Hurst exponent (H), Detrended Fluctuation Analysis (DFA) and approximate entropy (ApEn). Hurst exponent of the R-R series was determined by the range rescaled analysis technique. DFA was used to quantify fractal long-range-correlation properties of heart rate variability. Approximate entropy measures the unpredictability of fluctuations in a time series. It was found that the short-term fractal scaling exponent (α1) is significantly lower in patients with CHD (1.07 ± 0.04 vs. 1.34 ± 0.07; p < 0.001). The patients with CHD had lower Hurst exponent in each program of exercise test separately, as well as aproximate entropy than healthy control group (P < 0.001).