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Updated: Feb 4, 2026

Use of Two Intracorporeal Ventricular Assist Devices As a Total Artificial Heart
Published on: May 11, 2018
A Multiphysics Biventricular Cardiac Model: Simulations With a Left-Ventricular Assist Device.
Azam Ahmad Bakir1, Amr Al Abed1, Michael C Stevens1,2
1Graduate School of Biomedical Engineering, University of New South Wales, Kensington, NSW, Australia.
A new computational model simulates left-ventricular assist device (LVAD) performance, predicting device-induced ventricular collapse. This tool aids in developing control algorithms and pre-clinical testing to prevent adverse events in patients.
Area of Science:
- Biomedical Engineering
- Computational Mechanics
- Cardiovascular Physiology
Background:
- Computational models are crucial for predicting medical device performance before clinical trials.
- Left-ventricular assist devices (LVADs) require sophisticated modeling to understand heart-device interactions.
- Simulating cardiac function and hemodynamics is complex due to multi-physics coupling.
Purpose of the Study:
- To develop and validate a fully-coupled finite element model for simulating heart-LVAD interaction.
- To investigate the hemodynamic and mechanical consequences of LVAD implantation on a failing heart.
- To assess the model's capability in predicting adverse events like ventricular collapse.
Main Methods:
- A finite element model integrated electrical activation, myocardial mechanics, and blood hemodynamics.
- The model used an idealized biventricular geometry with a simplified Purkinje network for electrical activation.
- LVAD insertion was simulated with a continuous flow cannula, and a proportional controller managed pump speed.
Main Results:
- The model predicted a shift in the left ventricular (LV) pressure-volume loop shape post-LVAD insertion.
- Increased pump speeds led to cessation of aortic ejection and LV decompression.
- The simulation successfully predicted LV cavity collapse, a critical adverse event.
Conclusions:
- The developed computational model accurately predicts heart-LVAD interactions and potential complications.
- This model serves as a valuable tool for pre-clinical testing of LVADs and control systems.
- It can aid in designing strategies to prevent LV collapse in recipients.
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