S. Guzzetti et al., NONLINEAR DYNAMICS AND CHAOTIC INDEXES IN HEART-RATE-VARIABILITY OF NORMAL SUBJECTS AND HEART-TRANSPLANTED PATIENTS, Cardiovascular Research, 31(3), 1996, pp. 441-446
Objectives: Heart rate variability (HRV) is characterised by a variety
of linear, non-linear, periodical and non-periodical oscillations. Th
e aim of the present study was mainly to investigate the role played b
y neural mechanisms in determining non-linear and non-periodical compo
nents. Methods: Analysis was performed in 7 recently heart transplante
d patients and in 7 controls of similar age whose HRV signal was colle
cted during 24 h. Parameters that quantify non-linear dynamic behaviou
r, in a time series, were calculated. We first assessed the specific n
on-linear nature of the time series by a test on surrogate data after
Fourier phase randomization. Furthermore, the D-2 correlation dimensio
n, K-2 Kolmogorov entropy, and H self-similarity exponent of the signa
l were estimated. From this last parameter, the dimension D = 1/H can
be obtained. In order to assess whether the dynamics of the system are
compatible with chaotic characteristics, the entire spectrum of Lyapu
nov exponents was calculated. We used return maps to graphically repre
sent the non-linear and non-periodical behaviours in patients and cont
rols. Results: Surrogate data suggest that the HRV time courses have u
nique non-linear characteristics. D-2, K-2 and 1/H parameters were sig
nificantly lower in transplanted subjects than in controls, Positivity
of the first Lyapunov exponent indicates divergence of trajectories i
n state-space. Furthermore, the display of return maps on projections
obtained after Singular Value Decomposition, especially in low-complex
ity data (as in transplanted patients), shows a structure which is sug
gestive of a strange attractor. These findings support the hypothesis
that chaotic dynamics underlie HRV. Conclusion: These results indicate
that non-linear dynamics are likely to be present in HRV control mech
anisms, giving rise to complex and qualitatively different behaviours.
System complexity decreases in transplanted patients and this may be
related to loss of the neural modulation of heart rate.