[Nonlinear dynamics in regulation of heart rate in healthy infants]

R Mrowka1, A Unbehaun, E Schubert

  • 1Institut für Physiologie, Humboldt-Universität zu Berlin, Universitäts-klinikum Charité, Deutschland.

Insights

Newborn heart rate exhibits non-linear dynamics influenced by sleep states. These characteristics, including correlation dimension and Lyapunov exponent, change with infant age and sleep patterns.

Area of Science:

  • Cardiology
  • Physiology
  • Complexity Science

Context:

  • Heart rate variability (HRV) analysis offers insights into autonomic nervous system function.
  • Understanding infant cardiovascular regulation is crucial for assessing health and development.
  • Non-linear dynamics provide a more comprehensive view of physiological systems than linear methods alone.

Purpose:

  • To qualitatively and quantitatively investigate non-linear and linear heart rate characteristics in newborns.
  • To identify the connection between these heart rate dynamics and different sleep states (quiet vs. active sleep).
  • To examine how these characteristics evolve during the first six months of life.

Summary:

  • 16 newborns underwent polygraphic recordings, with R-peak detection and R-R interval calculation to construct instantaneous heart rate (IHR) time series.
  • IHR time series were analyzed using Poincaré maps for qualitative structure and bifurcations, and quantitatively for correlation dimension (D2) and Lyapunov exponent (LLE).
  • Results showed a non-linear component in newborn heart rate control, with D2 higher in quiet sleep and LLE showing age-dependent changes, particularly in active sleep.

Impact:

  • The study reveals that non-linear heart rate control is present in healthy newborns.
  • Changes in D2 and LLE with postnatal age and sleep states indicate modulation during maturation and sleep organization.
  • These findings contribute to a deeper understanding of infant cardiovascular system development and autonomic regulation.

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