Estimation of conduction velocity vector fields from epicardial mapping data

Area of Science:

• Biomedical Engineering
• Computational Cardiology
• Electrophysiology

Background:

• Estimating cardiac electrical propagation velocity is crucial for understanding heart function and disease.
• Existing methods for measuring conduction velocity can be complex and time-consuming.

Purpose of the Study:

• To develop and validate an automated method for estimating vector fields of propagation velocity from epicardial extracellular potentials.
• To characterize cardiac electrical propagation during different rhythms using the developed method.

Main Methods:

• An automated method was developed to fit polynomial surfaces to space-time coordinates of epicardial activity.
• Propagation speed and direction were computed from the gradient of these local polynomial surfaces.
• The method was validated using 2-D simulations and applied to cardiac mapping data from pigs.

Main Results:

• The automated method successfully estimated conduction velocity vector fields.
• Velocity estimates were obtained at multiple epicardial locations during sinus rhythm, pacing, and ventricular fibrillation (VF).
• The technique provided quantitative and qualitative characterization of propagation during simple and complex cardiac rhythms.

Conclusions:

• The automated method provides an effective means to estimate cardiac propagation velocity vector fields.
• This approach offers a valuable tool for analyzing electrical activity in the heart.
• The method has potential applications in diagnosing and managing cardiac arrhythmias.