Abstract

Heart rate variability (HRV) signal is supposed to be the effect of a variety of different controls acting through linear and non-linear mechanisms. In this paper, non-linear dynamic components of HRV signals are analyzed by the evaluation of invariant characteristics of the system attractor obtained from time series: correlation dimension, entropy, self-similarity parameter H, and Lyapunov exponents. The results confirm that nonlinear dynamics are involved in the HRV signal generating mechanism.

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