An automated algorithm for determining conduction velocity, wavefront direction and origin of focal cardiac...

Area of Science:

• Cardiology
• Biomedical Engineering
• Medical Imaging

Background:

• Accurate determination of myocardial conduction velocity (CV) and focal arrhythmia sources is crucial for effective catheter ablation.
• Current methods for estimating CV and source location are often time-consuming, electrode-configuration specific, and lack precision.

Purpose of the Study:

• To develop and validate automated algorithms for rapid and accurate estimation of CV and wavefront direction from multipolar catheter data.
• To provide real-time guidance for catheter ablation by identifying focal arrhythmic sources.

Main Methods:

• Development of automated algorithms to analyze multipolar catheter data for CV and wavefront direction estimation.
• Validation using realistic human left atrial geometry simulations.
• Application to clinically-acquired intracardiac electrogram data.

Main Results:

• Algorithms accurately determined CV and wavefront direction in all clinical cases.
• Focal source locations were correctly identified in two-thirds of clinical cases.
• Methods demonstrated rapid identification of CV irrespective of electrode arrangement.

Conclusions:

• Novel automated algorithms offer a rapid and accurate approach to quantify myocardial CV and wavefront direction.
• These algorithms have the potential to guide catheter ablation of focal arrhythmias in real-time.
• The developed methods can improve the precision and efficiency of cardiac catheter ablation procedures.