Abstract
Chaos and fractal based measurements, such as Detrended
Fluctuation Analysis (DFA), have been widely
used for quantifying the Heart Rate Variability (HRV) for
cardiac risk stratification purposes. However, the physiological
meaning of these measurements is not clear. Given
that existing lumped parameter models contain a detailed
physiological description of several of the circulatory system
regulation processes, we hypothesize that controlled
changes in these processes will highlight the physiological
basis in DFA indices. We used a detailed lumped parameter
model of HRV, introduced earlier [6]. Ten signals
were generated in different physiological conditions.
DFA coefficients 1, 2, and the Hurst exponent, were calculated.
A clear disruption point was always observed.
Modifications in sympatho-vagal activity yielded significant
changes in 1 when compared to basal, but not in
2 or Hurst exponent. Modifications in non-nervous system
mediated changes yielded significant differences only
for peripheral resistance and heart period, only in 1. In
conclusion, the analysis of the effect of changes in the regulatory
system on the HRV chaotic/fractal indices can be
analyzed using detailed lumped parameter models
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