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Updated: Aug 7, 2026

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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Hardware-in-the-loop-simulation of the cardiovascular system, with assist device testing application
B M Hanson1, M C Levesley, K Watterson
1School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK. ben@benhanson.com
Medical Engineering & Physics
|July 4, 2006
Summary
This study introduces a novel method combining physical testing with a computer model to evaluate cardiac assist devices. This approach assesses device effectiveness on simulated failing hearts before human trials.
Area of Science:
- Biomedical Engineering
- Cardiovascular Systems Modeling
- Medical Device Evaluation
Background:
- Evaluating the efficacy of cardiac assist devices before in vivo trials is crucial.
- Existing methods may not fully capture the dynamic interactions within the cardiovascular system.
Purpose of the Study:
- To present a hybrid in vitro system for evaluating cardiac assist device performance.
- To assess the effectiveness of dynamic cardiac compression on simulated failing hearts.
Main Methods:
- Integration of a physical (mechanical) heart simulator with a real-time computational model of the cardiovascular system.
- Utilizing the system to simulate various heart failure conditions and vascular pathologies.
- Real-time monitoring and control of the mechanical simulator based on the software model's output.
Main Results:
- Demonstrated the system's capability to evaluate control techniques for cardiac assist devices.
- Presented experimental results on the efficacy of prototype assist on healthy and weakened heart models.
- Analyzed the impact of asynchronous assist on cardiac output.
Conclusions:
- The combined physical and computational modeling approach provides a robust platform for preclinical evaluation of cardiac assist technologies.
- This technique allows for detailed assessment of device performance under diverse physiological conditions.
- The findings support the use of this hybrid system for optimizing cardiac assist device design and control strategies.

