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

J Med Eng Technol

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

Published: October 2018

Lumped-parameter models are widely used by cardiovascular researchers in the analysis of the circulatory dynamics. However, portability and model exchange have always been a problem, with different researchers implement the model differently. To improve the situation, in this study, a group of lumped-parameter cardiovascular system models with different levels of complexity have been implemented using the CellML mark-up language. The models have been curated and made publicly available in the CellML model repository, and the purpose of this paper is to provide further technical details to support the usage of these models by the research community. The developed models are validated and tested under the OpenCell environment as part of the curation process. Simulation results agree well with typical published data on cardiovascular system response.

Download full-text PDF

Source
http://dx.doi.org/10.1080/03091902.2019.1576792DOI Listing

Publication Analysis

Top Keywords

lumped-parameter cardiovascular
8
cardiovascular system
8
models
6
construction lumped-parameter
4
cardiovascular
4
cardiovascular models
4
models cellml
4
cellml language
4
language lumped-parameter
4
lumped-parameter models
4

Similar Publications

Quantifying the influence of combined lung and kidney support using a cardiovascular model and sensitivity analysis-informed parameter identification.

Comput Biol Med

January 2025

Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Medical Faculty, RWTH Aachen University, Forckenbeckstraße 55, 52074, Aachen, Germany.

The combination of extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT) pose complex hemodynamic challenges in intensive care. In this study, a comprehensive lumped parameter model (LPM) is developed to simulate the cardiovascular system, incorporating ECMO and CRRT circuit dynamics. A parameter identification framework based on global sensitivity analysis (GSA) and multi-start gradient-based optimization was developed and tested on 30 clinical data points from eight veno-arterial ECMO patients.

View Article and Find Full Text PDF

Pediatric Cardiovascular Multiscale Modeling using a Functional Mock-up Interface.

Cardiovasc Eng Technol

January 2025

School of Biomedical Engineering, Science and Health Systems, Drexel University, 3141 Chestnut Street, Rm. 718, Philadelphia, PA, 19104, USA.

Purpose: Computational models of the cardiovascular system continue to increase in complexity. As more elements of the physiology are captured in multiscale models, there is a need to efficiently integrate subsystems. The objective of this study is to demonstrate the effectiveness of a coupling methodology, called functional mock-up interface (FMI), as applied to multiscale cardiovascular modeling.

View Article and Find Full Text PDF

Fenestration has been reported to enhance Fontan hemodynamics in several cases of Fontan circulation. However, the indication criteria for fenestration remain under discussion. To assess the effectiveness of fenestration in Fontan circulation, we conducted a theoretical analysis using a computational model of the fenestrated Fontan circulation.

View Article and Find Full Text PDF

Computer-generated Clinical Decision-making in the Treatment of Pulmonary Atresia with Intact Ventricular Septum.

Cardiovasc Eng Technol

December 2024

Department of Mechanical Engineering, Koc University, Rumeli Feneri Campus, Sarıyer, Istanbul, 34450, Turkey.

Purpose: Pulmonary atresia with intact ventricular septum is a multifactorial disease requiring complex surgeries. The treatment route is determined based on the right ventricle (RV) size, tricuspid annulus size and coronary circulation dependency of RV. Since multiple parameters influence the post-operative success, a personalized decision-making based on computed hemodynamics is hypothesized to improve the treatment efficacy.

View Article and Find Full Text PDF

Computational modelling of valvular heart disease: haemodynamic insights and clinical implications.

Front Bioeng Biotechnol

November 2024

School of Public Health and Preventative Medicine, Monash University, Melbourne, VIC, Australia.

An aging population and an increasing incidence of cardiovascular risk factors form the basis for a global rising prevalence of valvular heart disease (VHD). Research to further our understanding of the pathophysiology of VHD is often confined to the clinical setting. However, in recent years, sophisticated computational models of the cardiovascular system have been increasingly used to investigate a variety of VHD states.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!