# A study on dynamical complexity of noise induced blood flow

## TL;DR

This paper investigates the dynamical behavior and complexity of a noise-induced blood flow system, revealing correlations between chaos, regularity, and complexity measures through numerical and statistical analyses.

## Contribution

It introduces a phase space weighted entropy approach to quantify complexity and classifies different dynamical regimes in noise-induced blood flow dynamics.

## Key findings

- Strong correlation between dynamics and complexity.
- Chaotic and non-chaotic regimes identified.
- Entropy measure effectively characterizes system complexity.

## Abstract

In this article, the dynamics and complexity of a noise induced blood flow system have been investigated. Changes in the dynamics have been recognized by measuring the periodicity over significant parameters. Chaotic as well as non-chaotic regimes have also been classified. Further, dynamical complexity has been studied by phase space based weighted entropy. Numerical results show a strong correlation between the dynamics and complexity of the noise induced system. The correlation has been confirmed by a cross-correlation analysis.