Non-linear analysis of heart rate variability in patients with coronary heart disease

被引：23

作者：

Krstacic, G ^{[1
]}

Krstacic, A ^{[1
]}

Martinis, M ^{[1
]}

Vargovic, E ^{[1
]}

Knezevic, A ^{[1
]}

Smalcelj, A ^{[1
]}

Jembrek-Gostovic, M ^{[1
]}

Gamberger, D ^{[1
]}

Smuc, T ^{[1
]}

机构：

[1] Univ Clin Vuk Vrhovac, Rudjer Boskovic Inst, Inst Cardiovasc Dis & Rehabil, CDV Info,Clin Hosp Ctr Rebro, Zagreb, Croatia

来源：

COMPUTERS IN CARDIOLOGY 2002, VOL 29 | 2002年 / 29卷

关键词：

D O I：

10.1109/CIC.2002.1166862

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

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). 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 (a,) is 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 exponent in each program of exercise test separately, as well as aproximate entropy than healthy control group (P < 0.001).

引用

页码：673 / 675

页数：3

共 6 条

[1] Non-linear dynamics for clinicians: Chaos theory, fractals, and complexity at the bedside [J].