Low HRV entropy is strongly associated with myocardial infarction
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Stephan Lau
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.
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©2006 by Walter de Gruyter Berlin New York
Articles in the same Issue
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Articles in the same Issue
- ESGCO 2006 Conference and Meeting of the European Study Group on Cardiovascular Oscillations, Jena, Germany, May 15–17, 2006
- Cardiovascular Oscillations: from methods and models to clinical applications
- Circadian and ultradian rhythms in heart rate variability
- Influence of age, body mass index, and blood pressure on the carotid intima-media thickness in normotensive and hypertensive patients
- Multivariate and multidimensional analysis of cardiovascular oscillations in patients with heart failure
- Multivariate and multiorgan analysis of cardiorespiratory variability signals: the CAP sleep case
- Role of the autonomic nervous system in generating non-linear dynamics in short-term heart period variability
- Non-linear dynamic analysis of the cardiac rhythm during transient myocardial ischemia
- Complex autonomic dysfunction in cardiovascular, intensive care, and schizophrenic patients assessed by autonomic information flow
- Low HRV entropy is strongly associated with myocardial infarction
- Revisiting the potential of time-domain indexes in short-term HRV analysis
- Fractal dimension in health and heart failure
- Spatiotemporal correlation analyses: a new procedure for standardisation of DC magnetocardiograms
- Changes in heart rate variability of athletes during a training camp
- The missing link between cardiovascular rhythm control and myocardial cell modeling
- Model of the sino-atrial and atrio-ventricular nodes of the conduction system of the human heart
- Modelling long-term heart rate variability: an ARFIMA approach
- Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients
- Recurrence analysis of nocturnal heart rate in sleep apnea patients
- Normalized correlation dimension for heart rate variability analysis
- Complexity of heart rate fluctuations in near-term sheep and human fetuses during sleep
- Differences between heart rate and blood pressure variability in schizophrenia
- Influence of sympathetic vascular regulation on heart-rate scaling structure: spinal cord lesion as a model of progressively impaired autonomic control
- Increase in regularity of fetal heart rate variability with age
- Fetal heart rate variability in growth restricted fetuses
- Frequency modulation between low- and high-frequency components of the heart rate variability spectrum
- Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series
- Assessment of spatial organization in the atria during paroxysmal atrial fibrillation and adrenergic stimulation
- Attenuated autonomic function in multiple organ dysfunction syndrome across three age groups
- Central vasopressin V1a and V1b receptors modulate the cardiovascular response to air-jet stress in conscious rats
- Heart rate asymmetry by Poincaré plots of RR intervals
- Analyses of cardiovascular oscillations for enhanced diagnosis and risk stratification in cardiac diseases and disorders