Work

Post-Processing of Electrocardiographic Imaging Signals to Identify Atrial Fibrillation Drivers

Year: 2020

Type: conference-paper

Abstract: Phase mapping of inverse-computed electrograms (ECGI) is used for rotor activity identification to guide ablation procedures in atrial fibrillation (AF) patients.This study aims at identifying the post-processing settings that best allow tracking meaningful rotors.ECGI signals of 24 AF patients prior to pulmonary vein isolation (PVI) were recorded.Patients were divided according to their 6 months outcome (sinus vs. no sinus).Rotor metrics were compared using 3 types of processing: none, a narrow band-pass filtering centered at the highest dominant frequency (NB HDF), and sinusoidal recomposition filtering (SRC).Different thresholds for rotor duration were also compared (0.5, 1, and 1.5 turns).Differences in the absolute error of rotor metrics between sinus and no sinus patients were best identified with raw ECGI signals than filtered ECGI signals.In contrast, rotor duration threshold had little effect on the statistical differentiation between groups. Filtering of AF ECGI signals does not improve rotor identification to predict PVI outcome.

Source: Computing in cardiology

DOI: 10.22489/cinc.2020.113

Authors: Rubén Molero Alabau, Andreu M. Climent, Maria de la Salud Guillem Sánchez

Institution: Universitat Politècnica de València

Language: English

Topic: Cardiac Arrhythmias and Treatments

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: European Commission, Instituto de Salud Carlos III, European Regional Development Fund, EIT Health