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Low HRV entropy is strongly associated with myocardial infarction

  • Stephan Lau , Jens Haueisen , Ernst G. Schukat-Talamazzini , Andreas Voss , Matthias Goernig , Uwe Leder and Hans-R. Figulla
Published/Copyright: October 25, 2006
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 51 Issue 4

Abstract

Heart rate variability (HRV) is a marker of autonomous activity in the heart. An important application of HRV measures is the stratification of mortality risk after myocardial infarction. Our hypothesis is that the information entropy of HRV, a non-linear approach, is a suitable measure for this assessment. As a first step, to evaluate the effect of myocardial infarction on the entropy, we compared the entropy to standard HRV parameters. The entropy was estimated by compressing the tachogram with Bzip2. For univariate comparison, statistical tests were used. Multivariate analysis was carried out using automatically generated decision trees. The classification rate and the simplicity of the decision trees were the two evaluation criteria. The findings support our hypothesis. The meanNN-normalized entropy is reduced in patients with myocardial infarction with very high significance. One entropy parameter alone exceeds the discrimination strength of multivariate standards-based trees.


Corresponding author: Jens Haueisen, Biomagnetic Center Jena, Friedrich Schiller University Jena, Erlanger Allee 101, 07747 Jena, Germany Phone: +49-3641-9325770 Fax: +49-3641-9325772

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Published Online: 2006-10-25
Published in Print: 2006-10-01

©2006 by Walter de Gruyter Berlin New York

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  8. Non-linear dynamic analysis of the cardiac rhythm during transient myocardial ischemia
  9. Complex autonomic dysfunction in cardiovascular, intensive care, and schizophrenic patients assessed by autonomic information flow
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  11. Revisiting the potential of time-domain indexes in short-term HRV analysis
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  24. Increase in regularity of fetal heart rate variability with age
  25. Fetal heart rate variability in growth restricted fetuses
  26. Frequency modulation between low- and high-frequency components of the heart rate variability spectrum
  27. Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series
  28. Assessment of spatial organization in the atria during paroxysmal atrial fibrillation and adrenergic stimulation
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  30. Central vasopressin V1a and V1b receptors modulate the cardiovascular response to air-jet stress in conscious rats
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