Dynamic Behavior of Heart Rate in Ischemic Stroke

  • Korpelainen J
  • Sotaniemi K
  • Makikallio A
 et al. 
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Abstract

Background and Purpose--Traditional spectral and nonspectral methods have shown that heart rate (HR) variability is reduced after stroke. Some patients with poor outcome, however, show randomlike, complex patterns of HR behavior that traditional analysis techniques are unable to quantify. Therefore, we designed the present study to evaluate the complexity and correlation properties of HR dynamics after stroke by using new analysis methods based on nonlinear dynamics and fractals ("chaos theory"). Methods--In addition to the traditional spectral components of HR variability, we measured instantaneous beat-to-beat variability and long-term continuous variability analyzed from Poincare plots, fractal correlation properties, and approximate entropy of R-R interval dynamics from 24-hour ambulatory ECG recordings in 30 healthy control subjects, 31 hemispheric stroke patients, and 15 brain stem stroke patients (8 medullary, 7 pontine) in the acute phase of stroke and 6 months after stroke. Results--In the acute phase, the traditional spectral components of HR variability and the long-term continuous variability from Poincare plots were impaired (P

Author-supplied keywords

  • Behavior
  • Brain
  • Brain Stem
  • Cardiovascular
  • Fractals
  • Heart
  • Heart Rate
  • System
  • analysis
  • autonomic failure
  • complications
  • frequency
  • methods

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Authors

  • Juha T Korpelainen

  • Kyosti A Sotaniemi

  • Anne Makikallio

  • Heikki V Huikuri

  • Vilho V Myllyla

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