Abstract

Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, according to recent reports from the World Health Organization (WHO). This fact encourages research into the cardiovascular system (CVS) from multiple and different points of view than those given by the medical perspective, highlighting among them the computational and mathematical models that involve experiments much simpler and less expensive to be performed in comparison with in vivo or in vitro heart experiments. However, the CVS is a complex system that needs multidisciplinary knowledge to describe its dynamic models, which help to predict cardiovascular events in patients with heart failure, myocardial or valvular heart disease, so it remains an active area of research. Firstly, this paper presents a novel electrical model of the CVS that extends the classic Windkessel models to the left common carotid artery motivated by the need to have a more complete model from a medical point of view for validation purposes, as well as to describe other cardiovascular phenomena in this area, such as atherosclerosis, one of the main risk factors for CVDs. The model is validated by clinical indices and experimental data obtained from clinical trials performed on a pig. Secondly, as a first step, the goodness of a fractional-order behavior of this model is discussed to characterize different heart diseases through pressure–volume (PV) loops. Unlike other models, it allows us to modify not only the topology, parameters or number of model elements, but also the dynamic by tuning a single parameter, the characteristic differentiation order; consequently, it is expected to provide a valuable insight into this complex system and to support the development of clinical decision systems for CVDs.

Highlights

  • Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, according to recent reports from the World Health Organization (WHO)

  • The main methodologies used are: (1) lumped parameter models, which describe, in a simplified manner, the predominant behavior of each of the components involved in the cardiovascular system (CVS) [3,5,6,7,8,9]; (2) distributed parameter models, describing the CVS by one, two or three dimensions based on finite element software [10,11,12]; or (3) modeling from a hydraulic approach [13,14,15]

  • Reproduce different kinds of pathologies, including, for example, heart or valve dysTo sum up, the model results are consistent with hemodynamic parameters obtained functions, as well as artery narrowing or occlusion

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Summary

A Fractional Approach to Disease Modeling

José Emilio Traver 1, * , Cristina Nuevo-Gallardo 1, * , Inés Tejado 1 , Javier Fernández-Portales 2 , Juan Francisco Ortega-Morán 3 , J.

Introduction
Cardiovascular System
Anatomy and Physiology of the CVS
Cardiac Cycle and Pressure–Volume Loops
Description of the CVS Model
Electrical Equivalences
Elastance
Validation of the CVS Model
Clinical Parameters and Experimental Waveforms
Preload and Afterload Dynamics
Discussion
Fractional-Order Model
Results
Full Text
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