Modeling, characterization and test of a pediatric ventricular assist device

Sousa, de; Cordeiro, Thiago; Melo, Thamiles Rodrigues de; Neto, José Sérgio da Rocha; Cestari, Idágene Aparecida; Lima, Augusto Martins

doi:10.1088/1742-6596/1044/1/012047

Cited by 2 publications

(1 citation statement)

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“…Cardiovascular system models that include heart valves representation are based on Bernoulli equation (Aboelkassem et al (2015); Mynard et al (2012)), hydraulic valve equation (Korakianitis and Shi (2006)) and analogy to an electrical circuit with passive elements (Casas et al (2017)). In relation to biological prosthetic heart valves used in pVADs, Sousa et al (2018) and Hunsberger (2005) characterized the valves as ideal diodes. The main disadvantage of the ideal diode model is the inability for representing pathological conditions like regurgitation, in which reverse flow occurs.…”

Section: Introductionmentioning

confidence: 99%

A mathematical model that allows the representation of the regurgitation flow of a prosthetic cardiac valve

Vasconcelos

Melo

Cestari

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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This work proposes a lumped parameter model (0D) for biological prosthetic heart valves which represents the flow regurgitation. This model is used to obtain a more precise model of a pulsatile pediatric ventricular assist device (pVAD). The 0D model consists of the cannula-valve inlet and cannula-valve outlet configurations, which represent the discrete transfer functions related to the conduction and non-conduction states of the input and output valves, respectively. The flow and pressure curves in the inlet and outlet cannulas of the heart valves are measured from a hydraulic simulator connected to a pVAD. To find this model, a sequence of steps is performed, which includes the data pre-processing, the structure model choice and the refinement of model parameters. From the simulation of the refined model, the regurgitation phenomenon was represented with fidelity of 90 % of the value measured in the nominal condition test. The great importance of pVAD modeling is the possibility of coupling to the 0D model of the human cardiovascular system so that its interactions can be studied and automatic control strategies developed.

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