STUDY OF UNCERTAINTIES ON A 0D MODEL OF THE SYSTEMIC CIRCULATION

Gilmar Ferreira da Silva Filho, Rafael Alves Bonfim de Queiroz, Luis Paulo da Silva Barra, Bernardo Martins Rocha

Resumo


Cardiovascular system is intensely researched to understand the intricate nature of the heart and blood circulation. Nowadays we have well evolved computational models which are useful in many ways for the understanding and analysis of physiological and pathophysiological conditions of the heart. However, the practical use of these models and their results for clinical decision making in specific patients is not straightforward. In this context, models predictions must be accurate and reliable, which can be assessed by quantification of uncertainties in the predictions and sensitivity analysis of the input parameters. Lumped parameter models for the cardiovascular physiology can provide useful data for clinical patient-specific applications. However, the accurate estimation of all parameters of these models is a difficult task, and therefore the determination of the most sensitive parameters is an important step towards the calibration of these models. We perform uncertainty quantification and sensitivity analysis based on generalised polynomial chaos expansion in a lumped parameter model for the systemic circulation. The objective of this work is to verify the effect of uncertainties from input parameters on the predictions of the models and to identify parameters that contribute significantly to relevant quantities of interest. Numerical experiments are performed and results indicate a set of the most relevant parameters in the context of these models.

Palavras-chave


uncertainty quantification; sensitivity analysis; cardiovascular model

Texto completo:

PDF


DOI: http://dx.doi.org/10.21575/25254782rmetg2020vol5n21152

Apontamentos

  • Não há apontamentos.


Direitos autorais 2020 Gilmar Ferreira da Silva Filho, Rafael Alves Bonfim de Queiroz, Luis Paulo da Silva Barra, Bernardo Martins Rocha

Revista Mundi Engenharia, Tecnologia e Gestão ISSN 2525-4782

Qualis: B4 - Interdisciplinar, B5 - Geografia, B5 - Administração Pública e de Empresas, Ciências Contábeis e Turismo, B5 - Comunicação e Informação, B5 - Engenharias III