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      Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction.

      Circulation
      Adrenergic beta-Antagonists, therapeutic use, Aged, Angiotensin-Converting Enzyme Inhibitors, Cause of Death, Denmark, Electrocardiography, Ambulatory, Female, Fractals, Heart Rate, Humans, Male, Middle Aged, Myocardial Infarction, drug therapy, mortality, physiopathology, Survival Analysis, Thrombolytic Therapy, Time Factors, Ventricular Dysfunction, Left, Ventricular Function, Left

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          Abstract

          Preliminary data suggest that the analysis of R-R interval variability by fractal analysis methods may provide clinically useful information on patients with heart failure. The purpose of this study was to compare the prognostic power of new fractal and traditional measures of R-R interval variability as predictors of death after acute myocardial infarction. Time and frequency domain heart rate (HR) variability measures, along with short- and long-term correlation (fractal) properties of R-R intervals (exponents alpha(1) and alpha(2)) and power-law scaling of the power spectra (exponent beta), were assessed from 24-hour Holter recordings in 446 survivors of acute myocardial infarction with a depressed left ventricular function (ejection fraction

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