Details

Autor(en) / Beteiligte

• Krstacic, G.
• Krstacic, A.
• Martinis, M.
• Vargovic, E.
• Knezevic, A.
• Smalcelj, A.
• Jembrek-Gostovic, M.
• Gamberger, D.
• Smuc, T.

Titel

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

Ist Teil von

• Computers in Cardiology, 2002, p.673-675

Ort / Verlag

IEEE

Erscheinungsjahr

2002

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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 (/spl alpha//sub 1/) is significantly lower in patients with CHD (0.93 /spl plusmn/ 0.07 vs. 1.09 /spl plusmn/ 0.04; p < 0.001). The patients with CHD had lower Hurst exponent in each program of exercise test separately, as well as approximate entropy than healthy control group (P < 0.001).