The Intra-Cardiac Pattern Matching algorithm automatically assigned beats to separate 3D activation maps in a porcine model, matching manual local activation times 91.2% of the time.
Does the Intra-Cardiac Pattern Matching (ICPM) software accurately detect and assign different arrhythmia sources to separate 3D activation maps compared to manual mapping in a porcine model?
The ICPM algorithm accurately identifies changing atrial activation sites and assigns points to appropriate maps with >90% accuracy compared to manual acquisition in a porcine model.
Introduction: Atrial tachycardias (AT) can present multiple sites of origin or circuits which complicates mapping, requiring creation of separate activation maps per site. Objective: To evaluate the Intra-Cardiac Pattern Matching (ICPM) software that automatically detects and assigns different arrhythmia sources to separate 3D activation maps in a porcine model. Methods: To simulate different ATs, continuous pacing at same cycle length was performed from 2-3 right atrial (RA) sites (2 screw-in leads and mapping catheter) for 60-90 seconds before alternating. RA was continuously mapped with a 48-electrode high-density mapping catheter (Octaray). The operator manually switched and added points to the respective maps when the AT changed. Conversely, the ICPM algorithm (Carto Mapping system) automatically assigned each beat to its respective map. Pacing electrodes were repositioned to create a second set of maps. Offline analysis (manual and automatic maps) was performed comparing local activation times (LAT) and mesh coloring values of adjacent points (90% of the time compared to manual acquisition.
Guerra et al. (Wed,) conducted a other in Atrial tachycardias (n=6). Intra-Cardiac Pattern Matching (ICPM) software vs. Manual mapping was evaluated on Match of local activation times (LAT) and mesh coloring values (<10 msec variance). The Intra-Cardiac Pattern Matching algorithm automatically assigned beats to separate 3D activation maps in a porcine model, matching manual local activation times 91.2% of the time.
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