2007
DOI: 10.1016/j.medengphy.2006.08.004
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Model of arterial tree and peripheral control for the study of physiological and assisted circulation

Abstract: Peripheral vasomotion, interstitial liquid exchange, and cardiovascular system behaviour are investigated by means of a lumped parameter model of the systemic and peripheral circulation, from the aortic valve to the venules. This modelling work aims at combining arterial tree hemodynamics description, active peripheral flow regulation, and fluid exchange. The arterial compartment is constructed with 63 RCL segments and 30 peripheral districts including myogenic control on arterioles, metabolic control on venul… Show more

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Cited by 36 publications
(26 citation statements)
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“…(2) provides an univocal relation between A and P, such that the imposition of a pressure boundary condition corresponds to the imposition of an equivalent area in (9).…”
Section: Interface Equationsmentioning
confidence: 99%
See 1 more Smart Citation
“…(2) provides an univocal relation between A and P, such that the imposition of a pressure boundary condition corresponds to the imposition of an equivalent area in (9).…”
Section: Interface Equationsmentioning
confidence: 99%
“…They give insight about the main characteristics of the flow and about the interplay among physical phenomena taking place in the systemic arteries [1][2][3][4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…In the simplified approach, we used the model of a single vessel with fixed pressure. To expand this model to the response of network vessel structure, multi-compartment approaches can be used which were developed to model vascular pathway (Ursino et al, 1996; Lanzarone et al, 2007; Arciero and Secomb, 2012). …”
Section: Discussionmentioning
confidence: 99%
“…The first one deals with a Bayesian estimation approach to assess the stiffness and its spatial variations in a given aortic region, based on CT Angiography (CTA) images acquired over a cardiac cycle [21]. The arterial stiffness was derived by linking the kinematic information from the CTA images with pressure waveforms, generated by a lumped parameter model of the circulation [22]. The proposed approach includes the uncertainty of the input variables and exploits the entire diameter and pressure waveforms over the cardiac cycle.…”
Section: Prediction Models To Identify Patient-specific Functional Prmentioning
confidence: 99%