First experience with a new tool for automatic mapping of fragmented signals in a case report of cardioneuroablation

Cardioneuroablation is a treatment option for patients with recurrent vasovagal syncope (VVS). Ablation targets of parasympathetic ganglionated plexi (GP) adjacent to the right and left atrial walls and distal endocardial inputs of these GP can be identified both by their anatomical localization and by intracardiac mapping of fragmented electrogram signals. In this case of a successful cardioneuroablation of a 22-year-old patient suffering from recurrent VVS, a new algorithm for automatic mapping of fragmented signals (CARTO Elevate Module, Biosense Webster) was used to identify areas of GP. In this first experience, automatic tags of fragmented signals were matching well with anatomically guided ablation points. This new tool for automatic identification of fragmented signals may facilitate and improve cardioneuroablation procedures.

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Publication Details

Journal
Future Cardiology
Published
2025-03-09
DOI
https://doi.org/10.1080/14796678.2025.2476313
Primary Topic
Cardiovascular Syncope and Autonomic Disorders
Type
article
Field-Weighted Citation Impact
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article

First experience with a new tool for automatic mapping of fragmented signals in a case report of cardioneuroablation

Simon Schlögl, Eva Rasenack, Leonard Bergau, Markus Zabel et al.
Future Cardiology
Cardiovascular Syncope and Autonomic Disorders
article

First experience with a new tool for automatic mapping of fragmented signals in a case report of cardioneuroablation

Simon Schlögl, Eva Rasenack, Leonard Bergau, Markus Zabel, Nibras Soubh, Helge Haarmann, Bashar Hasan
article en

Abstract

Cardioneuroablation is a treatment option for patients with recurrent vasovagal syncope (VVS). Ablation targets of parasympathetic ganglionated plexi (GP) adjacent to the right and left atrial walls and distal endocardial inputs of these GP can be identified both by their anatomical localization and by intracardiac mapping of fragmented electrogram signals. In this case of a successful cardioneuroablation of a 22-year-old patient suffering from recurrent VVS, a new algorithm for automatic mapping of fragmented signals (CARTO Elevate Module, Biosense Webster) was used to identify areas of GP. In this first experience, automatic tags of fragmented signals were matching well with anatomically guided ablation points. This new tool for automatic identification of fragmented signals may facilitate and improve cardioneuroablation procedures.

Future CardiologyVol. 21(5)
University Medical Center (US)
Openalex Percentile: Top 92%
Cardiovascular Syncope and Autonomic Disorders
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First experience with a new tool for automatic mapping of fragmented signals in a case report of cardioneuroablation — Simon Schlögl, Eva Rasenack, et al. · Future Cardiology (2025) | TGRS Research Map | TGRS