Automatic algorithmic driven monitoring of atrioventricular nodal re-entrant tachycardia ablation to improve procedural safety.

ABSTRACT:

Background

During slow pathway modification for atrioventricular nodal reentrant tachycardia, heart block may occur if ablation cannot be stopped in time in response to high risk electrogram features (HREF).

Objectives

To develop an automatic algorithm to monitor HREF and terminate ablation earlier than human reaction.

Methods

Digital electrogram data from 332 ablation runs from February 2020 to June 2022 were included. They were divided into training and validation sets which contained 126 and 206 ablation runs respectively. HREF in training set was measured. Then a program was developed with cutoff values decided from training set to capture all these HREF. Simulation ablation videos were rendered using validation set electrogram data. The videos were played to thre

SUBMITTER: Tam TK 

PROVIDER: S-EPMC10352454 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature