2019
DOI: 10.1111/jce.13872
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Iterative navigation of multipole diagnostic catheters to locate repeating‐pattern atrial fibrillation drivers

Abstract: Introduction: Targeting repeating-pattern atrial fibrillation (AF) sources (reentry or focal drivers) can help in patient-specific ablation therapy for AF; however, the development of reliable and accurate tools for locating such sources remains a major challenge. We describe an iterative catheter navigation (ICAN) algorithm to locate AF drivers using a conventional circular Lasso catheter. Methods and Results: At each step, the algorithm analyzes 10 bipolar electrograms recoded at a given catheter location … Show more

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Cited by 4 publications
(4 citation statements)
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“…In the last decades, several works have analyzed atrial EGMs acquisition by different catheters using a simulation approach ( Alessandrini et al, 2017 ; Roney et al, 2017b ; Martinez-Mateu et al, 2018 , 2019 ; Hwang et al, 2019 ; Ravikumar et al, 2021 ), or have developed methods for rotor tracking with simulated and/or experimental EGMs ( Roney et al, 2014 ; Ugarte et al, 2015 ; Valinoti et al, 2015 , 2017 ; Ganesan et al, 2019a , b ).…”
Section: Discussionmentioning
confidence: 99%
“…In the last decades, several works have analyzed atrial EGMs acquisition by different catheters using a simulation approach ( Alessandrini et al, 2017 ; Roney et al, 2017b ; Martinez-Mateu et al, 2018 , 2019 ; Hwang et al, 2019 ; Ravikumar et al, 2021 ), or have developed methods for rotor tracking with simulated and/or experimental EGMs ( Roney et al, 2014 ; Ugarte et al, 2015 ; Valinoti et al, 2015 , 2017 ; Ganesan et al, 2019a , b ).…”
Section: Discussionmentioning
confidence: 99%
“…Many other methods have been developed to find rotors. We mention the following: the CARTOFINDER (Biosense Webster) [46], a method using electrocardiographic imaging (ECGI) [12], a method based on displaying electrogram dispersion [47,48], a method based on the optical flow of the wavefront dynamics [49], sequential ultra high density contact activation mapping [50], a machine learning method based on the 12 lead ECGs [51], the ASAP method for a multipole diagnostic catheter [52], the ICAN method for the circular lasso catheter [53], machine learning methods for mapping electrodes [54,55], single-signal algorithms based on instantaneous amplitude modulation (iAM) and instantaneous frequency modulation (iFM) [56], method to identify repetitive-regular activities (RRas) [57], the RADAR (Real-Time Electrogram Analysis for Drivers of Atrial Fibrillation) system [58], Noncontact Charge Density Mapping [59], novel integrated mapping technique searching for regions with repetitive-regular (RR) activations [60], Stochastic trajectory analysis of ranked signals (STAR) mapping [61], the wavefront field method [62], the electrographic flow mapping [63], deep neural networks for rotor localization [64]. It is clear that an abundance of methods have been developed in the past years to find rotors.…”
Section: Methods To Analyze the Datamentioning
confidence: 99%
“…In previous work, we developed a novel mapping method for repeating-pattern AF source localization that does not involve electrophysiological mapping of the Ganesan et al BioMed Eng OnLine (2020) 19:27 entire atria. It gradually navigates a 20-electrode circular catheter towards a repeatingpattern AF source and stops when the center of the catheter is placed within 4 mm of the core of an AF reentry or focal source [20,21]. However, this method locates only one point on the trajectory path of the source, which could be limiting its applicability to locating meandering AF sources that have been commonly evidenced in human AF [9].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we describe a mapping technique referred to as the AF source area probability (ASAP) mapping algorithm, which is fundamentally different from the existing approaches in three main aspects: (1) ASAP uses variations in electrogram characteristics at every catheter placement to intelligently sample the atria within a few catheter placements, instead of mapping the entire atria as performed in [15][16][17][18][19] or moving the catheter by one catheter radius as done in [20,21]; (2) it delineates the trajectory path of the core of a meandering AF source instead of locating one point on the path as performed in previous methods; and (3) it provides a spatial probability map of the presence of the core of a meandering AF source as the catheter is placed in the atria. These novel aspects of the ASAP mapping have the potential to improve clinical human AF ablation by delineating the area of meandering repeating-pattern AF sources within a few catheter placements instead of mapping the entire atria, which is time-consuming and often requires the acquisition of thousands of local electrograms.…”
Section: Introductionmentioning
confidence: 99%