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[Analysis of heart rhythm variability by linear and non-linear dynamics methods].
1Medicinski fakultet, Institut za biofiziku, Visegradska 26/2, 11 000 Beograd, Srbija i Crna Gora. vvesna@eunet.yu
Vojnosanitetski Pregled
|October 19, 2005
Summary
Healthy aging leads to increased heart rhythm regularity and decreased variability. This is linked to reduced parasympathetic activity, indicated by lower high-frequency power in middle-aged adults.
Area of Science:
- Cardiovascular physiology
- Nonlinear dynamics
- Autonomic nervous system function
Context:
- Heart rate variability (HRV) analysis offers insights into cardiovascular autonomic control.
- Nonlinear HRV methods reveal dynamics beyond linear analysis.
- This study investigates deterministic chaos, fractal, and spectral properties of HRV in healthy individuals across age groups.
Purpose:
- To compare spectral, fractal, and chaos parameters of HRV in healthy subjects.
- To assess age-related changes in heart rhythm dynamics.
- To correlate HRV parameters with aging.
Summary:
- Sixty healthy subjects across four age groups (children, young, adults, middle-aged) were analyzed using 5-minute ECG recordings.
- Parameters included fractal scaling exponent, sample entropy, minimum embedding dimension, largest Lyapunov exponent, and spectral measures (LF and HF power).
- Results showed decreased LF and HF power, and sample entropy with age, alongside a higher minimum embedding dimension in middle-aged individuals compared to children. A negative correlation between age and LF/HF power and sample entropy was observed.
Impact:
- Healthy aging is associated with altered heart rhythm dynamics, characterized by increased regularity and reduced variability.
- A significant decrease in high-frequency power with aging suggests reduced parasympathetic activity.
- These findings contribute to understanding age-related autonomic nervous system changes.