Evidence map›Paper›PMID 32792983›Full record

ArticleFrontiers in physiology2020

Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.

Xin Li, Tiago P Almeida, Nawshin Dastagir, María S Guillem, João Salinet, Gavin S Chu, Peter J Stafford, Fernando S Schlindwein, G André Ng

Abstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Automated generation of ablation lesion masks: a unison of electro and optic flow mapping for persistent AF virtual cohorts.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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  4. Article
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  6. Electrocardiographic imaging in the atria.Medical & biological engineering & computing · 2023
    Review
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  8. Article
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  10. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xin LiDepartment of Cardiovascular Science, University of Leicester, Leicester, United Kingdom.
Tiago P AlmeidaDepartment of Cardiovascular Science, University of Leicester, Leicester, United Kingdom.
Nawshin DastagirAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
María S GuillemUniversitat Politècnica de València, Valencia, Spain.
João SalinetCentre for Engineering, Modelling and Applied Social Sciences, Federal University of ABC, Santo André, Brazil.
Gavin S ChuDepartment of Cardiovascular Science, University of Leicester, Leicester, United Kingdom.
Peter J StaffordNational Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
Fernando S SchlindweinSchool of Engineering, University of Leicester, Leicester, United Kingdom.
G André NgDepartment of Cardiovascular Science, University of Leicester, Leicester, United Kingdom.

Funding

British Heart Foundation PG/18/33/33780British Heart Foundation RG/17/3/32774Medical Research Council MC_PC_17194Medical Research Council MR/S037306/1
6 · The paper itself

Abstract

purposeRecent investigations failed to reproduce the positive rotor-guided ablation outcomes shown by initial studies for treating persistent atrial fibrillation (persAF). Phase singularity (PS) is an important feature for AF driver detection, but algorithms for automated PS identification differ. We aim to investigate the performance of four different techniques for automated PS detection.

methods2048-channel virtual electrogram (VEGM) and electrocardiogram signals were collected for 30 s from 10 patients undergoing persAF ablation. QRST-subtraction was performed and VEGMs were processed using sinusoidal wavelet reconstruction. The phase was obtained using Hilbert transform. PSs were detected using four algorithms: (1) 2D image processing based and neighbor-indexing algorithm; (2) 3D neighbor-indexing algorithm; (3) 2D kernel convolutional algorithm estimating topological charge; (4) topological charge estimation on 3D mesh. PS annotations were compared using the structural similarity index (SSIM) and Pearson's correlation coefficient (CORR). Optimized parameters to improve detection accuracy were found for all four algorithms using

resultsThe PS density maps created by each algorithm with default parameters were poorly correlated. Phase gradient threshold and search radius (or kernels) were shown to affect PS detections. The processing times for the algorithms were significantly different (

conclusionAF driver identification is dependent on the PS detection algorithms and their parameters, which could explain some of the inconsistencies in rotor-guided ablation outcomes in different studies. For 3D triangulated meshes, algorithm 4 + DBSCAN with optimal parameters was the best solution for real-time, automated PS detection due to accuracy and speed. Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. Such algorithms - and parameters - should be preferred in future clinical studies for identifying AF drivers and minimizing methodological heterogeneities. This would facilitate comparisons in rotor-guided ablation outcomes in future works.

Indexed as

atrial electrogramsatrial fibrillationcatheter ablationnon-contact mappingphase singularityrotorspiral wave

Identifiers

PMID32792983
PMCPMC7386053

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.