Assessment of spatial resolution of pace mapping when using body surface potentials

Area of Science:

• Electrophysiology
• Computational Cardiology
• Medical Imaging

Background:

• Accessory pathways along the atrioventricular ring can cause cardiac arrhythmias.
• Accurate localization of these pathways is crucial for effective treatment.
• Pace mapping combined with body surface potentials is a potential diagnostic tool.

Purpose of the Study:

• To investigate the spatial resolution of pace mapping using body surface potentials.
• To assess the impact of noise on the accuracy of this technique.
• To provide theoretical evidence for subcentimetre identification of accessory pathways.

Main Methods:

• Computer simulations of the human ventricular myocardium were performed.
• Pre-excitation sequences were initiated at 69 sites along the atrioventricular ring.
• Body surface potential maps (BSPMs) were calculated and analyzed using statistical methods and cross-correlation.
• Spatial resolution was determined under varying noise levels (5-50 microV) and time points (4-40 ms).

Main Results:

• With 5 microV RMS noise, the average spatial resolution was 3.5 +/- 0.9 mm at 20 ms post-excitation.
• Statistical analysis of BSPMs demonstrated significant correlation differences at various pacing site separations.
• The technique showed potential for precise localization even with simulated physiological noise.

Conclusions:

• Statistical analysis of BSPMs during pace mapping offers improved subcentimetre identification of accessory pathways.
• This computational study provides a theoretical basis for the clinical application of this diagnostic approach.
• The findings support the use of pace mapping with body surface potentials for precise electrophysiological mapping.