Traver, José Emilio;
Nuevo-Gallardo, Cristina;
Tejado, Inés;
Fernández-Portales, Javier;
Ortega-Morán, Juan Francisco;
Pagador, J. Blas;
Vinagre, Blas M.
Cardiovascular Circulatory System and Left Carotid Model: A Fractional Approach to Disease Modeling
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Media type:
E-Article
Title:
Cardiovascular Circulatory System and Left Carotid Model: A Fractional Approach to Disease Modeling
Contributor:
Traver, José Emilio;
Nuevo-Gallardo, Cristina;
Tejado, Inés;
Fernández-Portales, Javier;
Ortega-Morán, Juan Francisco;
Pagador, J. Blas;
Vinagre, Blas M.
Published:
MDPI AG, 2022
Published in:
Fractal and Fractional, 6 (2022) 2, Seite 64
Language:
English
DOI:
10.3390/fractalfract6020064
ISSN:
2504-3110
Origination:
Footnote:
Description:
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.