Cardiac Electrical Modeling for Closed-Loop Validation of Implantable Devices

Area of Science:

• Computational biology
• Biomedical engineering
• Cardiovascular research

Background:

• Evaluating cardiac electrical devices requires comprehensive safety testing, often impractical in closed-physiologic-loops.
• Existing in silico models struggle to balance time-critical requirements with necessary dynamic features for cardiac device systems.

Purpose of the Study:

• To introduce a new, high-level, physiologically-based computational heart model.
• To create a model that is both time-critical and dynamically representative of cardiac function.

Main Methods:

• The model utilizes hybrid automata for regional cellular electrophysiology and conduction pathways, capturing non-linear dynamics.
• Incorporates pacemaker hierarchies for sinus rhythms and allows for simulated arrhythmias like escape ectopic rhythms.
• Model parameters are calibrated against experimental data and prior simulations.

Main Results:

• The model accurately replicates human action potentials, dynamic behavior, and cardiac activation sequences.
• When coupled with a DDD mode pacing device, it generates complex arrhythmias, including atrioventricular nodal reentry tachycardia.
• Identifies key physiological features influencing cardiac device performance.

Conclusions:

• This abstracted heart model offers a practical solution for cardiac device validation.
• Facilitates the design of personalized treatment strategies for cardiac conditions.