Spectral Analysis for Slow Pathway Characterization in Atrioventricular Nodal Reentry Tachycardia
Year: 2024
Type: conference-paper
Abstract: Despite advancements in supraventricular arrhythmia mapping, ablating atrioventricular nodal reentrant tachycardia (AVNRT) still relies on qualitative identification of slow pathway (SP) potentials. This study aims to characterize SP signals in the frequency domain to improve mapping objectivity.By analyzing 355 atrial signals from AVNRT ablation patients, a multiparametric analysis of spectral and temporal parameters was conducted to distinguish target from non-target signals.Combining the amplitude of the second peak with the power spectrum density slope yielded the best discrimination (AUC 0.63), reducing false positives by 50% compared to the operator experience.Automating SP mapping is crucial to avoid non-target radiofrequency deliveries.Shifting to the frequency domain analysis shows promise and ensures further validation and integration into mapping systems for better ablation strategy planning.
Source: Computing in cardiology
Authors: Giorgia Bongiovanni, Matteo Fioravanti, Francesco Soliani, Antonio Crocamo, Francesca Notarangelo, Cristiana Corsi
Institution: University of Bologna
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4405434817