Electrical analogs for monitoring vascular properties in artificial heart studies

Avanzolini, G.; Barbini, Paolo; Cappello, Angelo; Cevenini, Gabriele; Möller, Dietmar P. F.; Pohl, Vaclav; Sikora, Tadeusz

doi:10.1109/10.18753

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…For the sake of the further improvement of the arterial model, a few researchers developed more complex Windkessel models in which more resistive, inductive and capacitive components were introduced [39, 40]. By including more resistive and inductive elements, the laminar oscillatory flow impedance can be simulated.…”

Section: D Modelsmentioning

confidence: 99%

A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure

Zhou

Hao

et al. 2019

BioMed Eng OnLine

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The physiological processes and mechanisms of an arterial system are complex and subtle. Physics-based models have been proven to be a very useful tool to simulate actual physiological behavior of the arteries. The current physics-based models include high-dimensional models (2D and 3D models) and low-dimensional models (0D, 1D and tube-load models). High-dimensional models can describe the local hemodynamic information of arteries in detail. With regard to an exact model of the whole arterial system, a high-dimensional model is computationally impracticable since the complex geometry, viscosity or elastic properties and complex vectorial output need to be provided. For low-dimensional models, the structure, centerline and viscosity or elastic properties only need to be provided. Therefore, low-dimensional modeling with lower computational costs might be a more applicable approach to represent hemodynamic properties of the entire arterial system and these three types of low-dimensional models have been extensively used in the study of cardiovascular dynamics. In recent decades, application of physics-based models to estimate central aortic pressure has attracted increasing interest. However, to our best knowledge, there has been few review paper about reconstruction of central aortic pressure using these physics-based models. In this paper, three types of low-dimensional physical models (0D, 1D and tube-load models) of systemic arteries are reviewed, the application of three types of models on estimation of central aortic pressure is taken as an example to discuss their advantages and disadvantages, and the proper choice of models for specific researches and applications are advised.

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Section: D Modelsmentioning

confidence: 99%

A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure

Zhou

Hao

et al. 2019

BioMed Eng OnLine

View full text Add to dashboard Cite

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Identification algorithm for systemic arterial parameters with application to total artificial heart control

et al. 1993

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A new algorithm for estimating systemic arterial parameters from systolic pressure and flow measurements at the root of the aorta is developed and tested through a systems identification approach. The resulting procedure has direct application to a total artificial heart (TAH) control system currently under development. Identification models, representing the systemic arterial system, are developed from existing work in the area of cardiovascular modeling. The resistive and compliance components of these models are physically significant, representing overall hydraulic properties of the systemic arterial system. A unique method of parameterizing the identification models is designed which operates on the basis of aortic pressure and flow measurements taken exclusively during systole. The estimator is a modified recursive least squares algorithm which utilizes covariance modification to track time-varying parameters and a dead-zone to improve the robustness. Performance of the estimation algorithm was tested on data generated by a higher-order distributed model of the systemic arterial bed using normal canine parameters. Results from model-to-model experiments verify the consistency of the estimates and the ability of the estimator to converge quickly and track dynamically varying parameters.

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Dynamic characteristics of prosthetic heart valves

She

Huan

et al. 1995

Medical Engineering & Physics

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Electrical analogs for monitoring vascular properties in artificial heart studies

Cited by 7 publications

References 9 publications

A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure

A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure

Identification algorithm for systemic arterial parameters with application to total artificial heart control

Dynamic characteristics of prosthetic heart valves

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