Literature DB >> 28104480

Effect of spatial resolution and filtering on mapping cardiac fibrillation.

Benjamin King1, Andreu Porta-Sánchez2, Stéphane Massé2, Nima Zamiri2, Krishanand Balasundaram2, Marjan Kusha2, Nicholas Jackson2, Shouvik Haldar2, Karthikeyan Umapathy2, Kumaraswamy Nanthakumar3.   

Abstract

BACKGROUND: Endocardial mapping tools use variable interelectrode resolution, whereas body surface mapping tools use narrow bandpass filtering (BPF) to map fibrillatory mechanisms established by high-resolution optical imaging.
OBJECTIVE: The purpose of this study was to study the effect of resolution and BPF on the underlying mechanism being mapped.
METHODS: Hearts from 14 healthy New Zealand white rabbits were Langendorff perfused. We studied the effect of spatial resolution and BPF on the location and characterization of rotors by comparing phase singularities detected by high-resolution unfiltered optical maps and of fibrillating myocardium with decimated and filtered maps with simulated electrode spacing of 2, 5, and 8 mm.
RESULTS: As we decimated the maps with 2-mm, 5-mm, and 8-mm interelectrode spacing, the mean ( ± SD) number of rotors detected decreased from 10.2 ± 9.6, 1.6 ± 3.2, and 0.2 ± 0.5, respectively. Lowering the resolution led to synthesized pseudo-rotors that may be inappropriately identified. Applying a BPF led to fewer mean phase singularities detected (248 ± 207 vs 333 ± 130; P<.01), giving the appearance of pseudo-spatial stability measured as translation index (with BPF 3.6 ± 0.4 mm vs 4.0 ± 0.5 mm without BPF; P<.01) and pseudo-temporal stability with longer duration (70.0 ± 17.6 ms in BPF maps vs 44.1 ± 6.6 ms in unfiltered maps; P<.001) than true underlying fibrillating myocardium mapped.
CONCLUSION: Electrode resolution and BPF of electrograms can result in distortion of the underlying electrophysiology of fibrillation. Newer mapping techniques need to demonstrate sensitivity analysis to quantify the degree of distortion before clinical use to avoid inaccurate electrophysiologic interpretation.
Copyright © 2017 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Electrode resolution; Multielectrode mapping; Optical mapping; Rotor; Signal filters; Ventricular fibrillation

Mesh:

Year:  2017        PMID: 28104480     DOI: 10.1016/j.hrthm.2017.01.023

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  11 in total

1.  New Insights Into Understanding Rotor Versus Focal Activation in Patients With Persistent Atrial Fibrillation.

Authors:  Seungyup Lee; Celeen M Khrestian; Jayakumar Sahadevan; Alan Markowitz; Albert L Waldo
Journal:  JACC Clin Electrophysiol       Date:  2021-02-24

2.  Rotors: How Do We Know When They Are Real?

Authors:  Konstantinos N Aronis; Ronald D Berger; Hiroshi Ashikaga
Journal:  Circ Arrhythm Electrophysiol       Date:  2017-09

3.  Impact of number of co-existing rotors and inter-electrode distance on accuracy of rotor localization.

Authors:  Konstantinos N Aronis; Hiroshi Ashikaga
Journal:  J Electrocardiol       Date:  2017-09-01       Impact factor: 1.438

4.  Paradigm shifts in electrophysiological mechanisms of atrial fibrillation.

Authors:  Ulrich Schotten; Seungyup Lee; Stef Zeemering; Albert L Waldo
Journal:  Europace       Date:  2021-04-10       Impact factor: 5.214

5.  Iterative navigation of multipole diagnostic catheters to locate repeating-pattern atrial fibrillation drivers.

Authors:  Prasanth Ganesan; Anthony Salmin; Elizabeth M Cherry; David T Huang; Arkady M Pertsov; Behnaz Ghoraani
Journal:  J Cardiovasc Electrophysiol       Date:  2019-02-11

6.  Rotor Localization and Phase Mapping of Cardiac Excitation Waves Using Deep Neural Networks.

Authors:  Jan Lebert; Namita Ravi; Flavio H Fenton; Jan Christoph
Journal:  Front Physiol       Date:  2021-12-17       Impact factor: 4.566

7.  Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers.

Authors:  Balvinder S Handa; Xinyang Li; Kedar K Aras; Norman A Qureshi; Ian Mann; Rasheda A Chowdhury; Zachary I Whinnett; Nick W F Linton; Phang Boon Lim; Prapa Kanagaratnam; Igor R Efimov; Nicholas S Peters; Fu Siong Ng
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-02-16

8.  RADAR: A Multicenter Food and Drug Administration Investigational Device Exemption Clinical Trial of Persistent Atrial Fibrillation.

Authors:  Subbarao Choudry; Moussa Mansour; Sri Sundaram; Duy T Nguyen; Srinivas R Dukkipati; William Whang; Paul Kessman; Vivek Y Reddy
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-01-16

Review 9.  Toward Mechanism-Directed Electrophenotype-Based Treatments for Atrial Fibrillation.

Authors:  Fu Siong Ng; Balvinder S Handa; Xinyang Li; Nicholas S Peters
Journal:  Front Physiol       Date:  2020-08-28       Impact factor: 4.566

Review 10.  Mapping Technologies for Catheter Ablation of Atrial Fibrillation Beyond Pulmonary Vein Isolation.

Authors:  Giulio La Rosa; Jorge G Quintanilla; Ricardo Salgado; Juan José González-Ferrer; Victoria Cañadas-Godoy; Julián Pérez-Villacastín; Nicasio Pérez-Castellano; José Jalife; David Filgueiras-Rama
Journal:  Eur Cardiol       Date:  2021-05-17
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