Dynamic and fractal non-linear changes of heart rate variability in patients with coronary heart disease

被引：0

作者：

Krstacic, GJ ^{[1
]}

Krstacic, AJ ^{[1
]}

Martinis, M ^{[1
]}

Vargovic, E ^{[1
]}

Jembrek-Gostovic, M ^{[1
]}

机构：

[1] Inst Cardiovasc Dis & Rehabil, Zagreb 10000, Croatia

来源：

CCCT 2003, VOL 3, PROCEEDINGS | 2003年

关键词：

non-linear dynamics; chaos theory; heart rate variability; coronary heart disease;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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). Rurst 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 (alpha) 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 thin healthy control group (P < 0.001).

引用

页码：45 / 49

页数：5

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