Longitudinal Analysis of EGM Dynamics near Ablation Points in Idiopathic Ventricular Arrhythmia

Idiopathic ventricular arrhythmias pose a challenge due to unclear underlying mechanisms.This study analyzes electrogram (EGM) data from three patients who underwent radiofrequency ablation (RFA), using feature extraction and dimensionality reduction to characterize signals near ablation sites.Findings show regions with similar EGM morphology do not always correspond spatially within the heart, and features like FFT coefficients and ECDF percentiles significantly correlate with effective ablation sites.These markers could improve ablation accuracy, enhancing outcomes for idiopathic ventricular arrhythmia.

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Publication Details

Journal
Computing in cardiology
Published
2024-12-01
DOI
https://doi.org/10.22489/cinc.2024.310
Primary Topic
Cardiac Arrhythmias and Treatments
Type
article
Field-Weighted Citation Impact
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article

Longitudinal Analysis of EGM Dynamics near Ablation Points in Idiopathic Ventricular Arrhythmia

Álvaro José Bocanegra, Giulio Falasconi, Diego Penela, Óscar Cámara et al.
Computing in cardiology
Cardiac Arrhythmias and Treatments
article

Longitudinal Analysis of EGM Dynamics near Ablation Points in Idiopathic Ventricular Arrhythmia

Álvaro José Bocanegra, Giulio Falasconi, Diego Penela, Óscar Cámara, Janire Etxegia Apezetxea
article en

Abstract

Idiopathic ventricular arrhythmias pose a challenge due to unclear underlying mechanisms.This study analyzes electrogram (EGM) data from three patients who underwent radiofrequency ablation (RFA), using feature extraction and dimensionality reduction to characterize signals near ablation sites.Findings show regions with similar EGM morphology do not always correspond spatially within the heart, and features like FFT coefficients and ECDF percentiles significantly correlate with effective ablation sites.These markers could improve ablation accuracy, enhancing outcomes for idiopathic ventricular arrhythmia.

Computing in cardiologyVol. 51
Openalex Percentile: Top 58%
Cardiac Arrhythmias and Treatments
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