Related Experiment Video
Updated: Apr 1, 2026

07:56
A Model of Long-Term Ventricular Fibrillation in Isolated Rat Hearts
Published on: February 17, 2023
1.4K
Verification of a Defibrillation Simulation Using Internal Electric Fields in a Human Shaped Phantom
Jess Tate1, Thomas Pilcher2, Kedar Aras1
1Department of Bioengineering, University of Utah, Salt Lake City, Utah, USA ; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA.
Computing in Cardiology
|October 9, 2015
Summary
This study validates a computer simulation for patient-specific Implantable Cardioverter Defibrillators (ICDs) by comparing model predictions to experimental data from porcine hearts. The simulation accurately predicts electrical potentials, supporting its clinical use for optimizing ICDs.
Area of Science:
- Biomedical Engineering
- Computational Electrophysiology
- Medical Device Simulation
Background:
- Patient-specific computer simulations are crucial for evaluating Implantable Cardioverter Defibrillators (ICDs).
- Previous verification of ICD simulations relied on surface potential recordings, necessitating in-vivo or in-situ validation within the torso and heart.
- Accurate modeling is essential for optimizing ICD placement and shock efficacy.
Purpose of the Study:
- To validate a patient-specific computer simulation model for Implantable Cardioverter Defibrillators (ICDs).
- To compare simulated electrical potentials with experimentally recorded potentials within a porcine heart and torso model.
- To assess the model's suitability for clinical application in optimizing ICD design and use.
Main Methods:
- Developed a finite element computer simulation for ICD shock analysis.
- Used an ex-planted porcine heart in an electrolytic torso tank to record potentials.
- Measured potentials on the tank surface, epicardial surface, and within the myocardium during simulated ICD shocks.
- Compared experimental recordings with finite element solutions.
Main Results:
- Potentials recorded within the torso tank and on its surface closely matched simulated potentials.
- Quantitative analysis showed a high mean correlation (0.90) between recorded and simulated potentials.
- The model demonstrated a low mean normalized RMS error (0.102) and mean relative error (26.5%).
Conclusions:
- The validated computer simulation accurately predicts electrical potentials within the torso and heart.
- This model can reliably guide the optimization of Implantable Cardioverter Defibrillator (ICD) design and clinical application.
- The findings support the use of this simulation for patient-specific ICD evaluation.

