Simulation studies of the electrocardiogram. I. The normal heart

Area of Science:

• Computational modeling
• Biophysics
• Cardiovascular science

Background:

• The body surface electrocardiogram (ECG) provides crucial insights into cardiac electrical activity.
• Accurate simulation of ECG requires detailed representation of cardiac electrophysiology and torso geometry.
• Existing models may lack sufficient detail in representing ventricular activation and recovery phases.

Purpose of the Study:

• To develop and validate a detailed digital computer model for simulating the body surface electrocardiogram (ECG).
• To represent the heart ventricles using a 3D array for precise simulation of electrical potentials.
• To compare simulated ECG maps with human data during ventricular activation and recovery.

Main Methods:

• A 3D digital computer model representing heart ventricles with approximately 4000 points across 23 regions.
• Utilized literature data for excitation sequence and cellular action potentials to determine intracellular potentials.
• Calculated dipole moments for each region and simulated surface potentials using a homogeneous torso volume conductor model.

Main Results:

• The model successfully simulated the spatial distribution of intracellular potentials during the cardiac cycle.
• Calculated dipole moments accurately represented regional electrical activity.
• Simulated isopotential surface maps during activation and recovery showed good agreement with human data.

Conclusions:

• The presented digital computer model offers a robust tool for simulating body surface ECG.
• The model's accuracy in representing ventricular activation and recovery validates its utility in cardiovascular research.
• This simulation approach can enhance the understanding of cardiac electrophysiology and ECG generation.