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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

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Construction of lumped-parameter cardiovascular models using the CellML language.

Yubing Shi¹, Patricia Lawford¹, D Rodney Hose¹

¹a Medical Physics Unit, Department of Cardiovascular Science, Faculty of Medicine, Dentistry and Health , University of Sheffield , Sheffield , UK.

Journal of Medical Engineering & Technology

|February 19, 2019

Summary

Cardiovascular researchers can now easily share and use lumped-parameter models thanks to CellML implementation. This study provides validated, accessible models for analyzing circulatory dynamics, improving research collaboration.

Keywords:

CellML Lumped-parameter model cardiovascular system numerical simulation

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Area of Science:

Cardiovascular Physiology
Computational Biology
Biomedical Engineering

Background:

Lumped-parameter models are crucial for cardiovascular dynamics analysis.
Lack of standardization hinders model portability and exchange among researchers.
Inconsistent implementations complicate model replication and collaboration.

Purpose of the Study:

To develop and provide a suite of lumped-parameter cardiovascular models.
To enhance model portability and exchangeability using CellML.
To support the cardiovascular research community with accessible, validated models.

Main Methods:

Implemented lumped-parameter cardiovascular models with varying complexity in CellML.
Curated models and made them publicly available in the CellML model repository.
Validated and tested models within the OpenCell environment.

Main Results:

Successfully created a library of CellML-based cardiovascular models.
Models demonstrated good agreement with published data for cardiovascular system responses.
Publicly available repository facilitates model accessibility and reuse.

Conclusions:

CellML provides a robust solution for standardizing cardiovascular model implementation.
The developed models enhance collaboration and reproducibility in cardiovascular research.
Accessible, validated models accelerate the analysis of circulatory dynamics.