engleski

Non-Linear Analysis of Heart Rate Variability in Patients with Coronary Heart Disease

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, DFA (Detrended Fluctuation Analysis) and approximate entropy. Hurst's exponent of the R-R series was determined by the range rescaled analysis technique. DFA was used to quantiffied fractal long-range-correlations 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 (alpha1) is signifficantly lower in patients with CHD (0.93+-0.07 vs. 1.09+-0.04 ; p<0.001). The patients with CHD had lower Hurst's exponent in each program of exercise test separately, as well as approximate entropy than healthy control group (P<0.001).

heart rate variability; nonlinear methods

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