Analysis of ischaemic crisis using the informational causal entropy-complexity plane

Abstract

In the present work, an ischaemic process, mainly focused on the reperfusion stage, is studied using the informational causal entropy-complexity plane. Ischaemic wall behavior under this condition was analyzed through wall thickness and ventricular pressure variations, acquired during an obstructive flow maneuver performed on left coronary arteries of surgically instrumented animals. Basically, the induction of ischaemia depends on the temporary occlusion of left circumflex coronary artery (which supplies blood to the posterior left ventricular wall) that lasts for a few seconds. Normal perfusion of the wall was then reestablished while the anterior ventricular wall remained adequately perfused during the entire maneuver. The obtained results showed that system dynamics could be effectively described by entropy-complexity loops, in both abnormally and well perfused walls. These results could contribute to making an objective indicator of the recovery heart tissues after an ischaemic process, in a way to quantify the restoration of myocardial behavior after the supply of oxygen to the ventricular wall was suppressed for a brief period.

Permutation Entropy and Statistical Complexity Analysis of Brazilian Agricultural Commodities

“…The complexity–entropy causality plane (CECP) was introduced by Rosso et al [ 43 ] as a tool to jointly quantify both information content and structural complexity in a temporal series. It was shown that CECP is useful for distinguishing between stochastic noise and deterministic chaotic behavior [ 43 ], leading to many applications in data analysis such as in physiology [ 44 ], physics [ 45 , 46 ], oceanography [ 47 ], ecology [ 48 ], hydrology [ 49 , 50 , 51 ], and finances [ 27 , 28 , 29 , 30 ]. In CECP representation, the horizontal axis is the Permutation entropy, and the vertical axis is a statistical complexity measure, also calculated using Bandt–Pompe probability distribution .…”

Comparing different approaches to compute Permutation Entropy with coarse time series

“…All efforts to understand the statistical properties of PE are important since this complexity measure was widely applied in Applied Science. Permutation Entropy was used in many different applied science for example Mechanics Engineering [9,10], Epilepsy [11][12][13], Anesthesia [14], Cardiology [15,6,16], Finance [17], Climate Change [18]. We refer to [19,20] for a comprehensive review of the Permutation Entropy application and its evolution through years.…”

Introduction to Focus Issue: Nonlinear dynamics of non-equilibrium complex systems

“…The article by Legnani et al (2018) analyzes the evolution of an ischaemic process using causal Information Theory descriptors. Ischaemic wall behavior under this condition was analyzed through wall thickness and ventricular pressure variations, acquired during an obstructive flow maneuver performed on left coronary arteries of surgically instrumented animals.…”