Key result
Application of noises with different amplitudes and spectral compositions to a human cardiovascular system model demonstrated chaotic dynamics that were either amplified or inhibited depending on parameters.
This mathematical modeling study demonstrates that a human cardiovascular system model exhibits chaotic dynamics that can be amplified or inhibited by noise.
Noise sensitivity in CV models is hypothesis-generating; leaves open clinical utility of Lyapunov exponents.
This study discusses an approach for estimation of the largest Lyapunov exponent for the mathematical model of the cardiovascular system. The accuracy was verified using the confidence intervals approach. The algorithm was used to investigate the effects of noises with different amplitudes and spectral compositions on the dynamics of the model. Three sets of parameters are considered, corresponding to different states of the human cardiovascular system model. It is shown that, in each case, the model exhibited chaotic dynamics. The model gave different responses to the changes in the characteristics of the noise, when using different sets of parameters. The noise had both constructive and destructive effects, depending on the parameters of the model and the noise, by, respectively, amplifying or inhibiting the chaotic dynamics of the model.
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Kuptsov et al. (2025) studied Human cardiovascular system model. Noises with different amplitudes and spectral compositions was evaluated on Largest Lyapunov exponent and chaotic dynamics. Application of noises with different amplitudes and spectral compositions to a human cardiovascular system model demonstrated chaotic dynamics that were either amplified or inhibited depending on parameters.
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