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

To investigate the clinical and prognostic significance of dynamic changes of heart rate variability, the group of patients with coronary heart disease (CHD) and age-matched healthy control were studied. The Hurst's exponent of the R-R series was determined by the range rescaled analysis technique. To quantify fractal long-range-correlation properties of heart rate variability, the detrended fluctuation analysis technique was used. Approximately entropy measures the logarithmic likelihood that runs of patterns that are close to each other will remain close in the next incremental comparison. The short-term fractal scaling exponent (a1) was significantly 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 text separately, as well as approximately entropy than healthy control group (p < 0.001).

non-linear dynamic; coronary heart disease; Hurst exponent; detrended fluctuation analysis; approximate entropy

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