Validating defibrillation simulation in a human-shaped phantom.

Area of Science:

• Biomedical Engineering
• Computational Electrophysiology
• Medical Device Simulation

Background:

• A computational model for implantable cardioverter-defibrillator (ICD) positioning was previously developed.
• Clinical validation on the body surface was achieved, but in-heart validation is necessary for full confidence and improved clinical application, especially in pediatric cases with abnormal anatomies.

Purpose of the Study:

• To validate a defibrillation simulation system by recording ICD potential fields within an animal heart and on a torso phantom.
• To establish confidence in the computational model for optimizing ICD placement.

Main Methods:

• Defibrillator shock potentials were recorded from an ICD within an animal heart immersed in a torso tank.
• Recorded potentials were compared with simulated values.
• Scaled distribution thresholds were calculated from measured and simulated electric fields in the myocardium.

Main Results:

• Recorded ICD potentials on the torso surface and within the myocardium showed strong agreement with simulation predictions.
• Quantitative analysis revealed a mean correlation of 0.94 and a 19.1% relative error between recorded and simulated potentials.
• The simulation successfully predicted scaled distribution thresholds comparable to those derived from measured potential fields.

Conclusions:

• The simulation model accurately predicts potential fields within the heart and on the torso surface with high correlation to measured values.
• These findings support the model's utility for optimizing implantable cardioverter-defibrillator placement in clinical settings.