Evidence map›Paper›PMID 35525879›Full record

ArticleMedical & biological engineering & computing2022

DG-Mapping: a novel software package for the analysis of any type of reentry and focal activation of simulated, experimental or clinical data of cardiac arrhythmia.

Enid Van Nieuwenhuyse, Sander Hendrickx, Robin Van den Abeele, Bharathwaj Rajan, Lars Lowie, Sebastien Knecht, Mattias Duytschaever, Nele Vandersickel

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Article in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Enid Van NieuwenhuyseDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Sander HendrickxDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Robin Van den AbeeleDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Bharathwaj RajanDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Lars LowieDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Sebastien KnechtCardiology Department, AZ Sint-Jan, Bruges, Belgium.
Mattias DuytschaeverCardiology Department, AZ Sint-Jan, Bruges, Belgium.
Nele VandersickelDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium. nele.vandersickel@ugent.be.ORCID http://orcid.org/0000-0002-8827-5302
Ghent University · BEAZ Sint-Jan · BE

Funding

European Research Council 900008
6 · The paper itself

Abstract

In this work, we present the release of a novel easy to use software package called DGM or Directed-Graph-Mapping. DGM can automatically analyze any type of arrhythmia to find reentry or focal sources if the measurements are synchronized in time. Currently, DGM requires the local activation times (LAT) and the spatial coordinates of the measured electrodes. However, there is no requirement for any spatial organization of the electrodes, allowing to analyze clinical, experimental or computational data. DGM creates directed networks of the activation, which are analyzed with fast algorithms to search for reentry (cycles in the network) and focal sources (nodes with outgoing arrows). DGM has been mainly optimized to analyze atrial tachycardia, but we also discuss other applications of DGM demonstrating its wide applicability. The goal is to release a free software package which can allow researchers to save time in the analysis of cardiac data. An academic license is attached to the software, allowing only non-commercial use of the software. All updates of the software, user and installation guide will be published on a dedicated website www.dgmapping.com . Graphical Abstract Direct-Graph-Mapping is a method to automatically analyze a given arrhythmia by converting measured data of the electrodes in a directed network. DGM requires the local activation times (LAT) and the spatial coordinates of the measured electrodes. There is no requirement for any spatial organization of the electrodes, allowing to analyze clinical, experimental or computational data (see left). An example could be the LATs and coordinates from a CARTO file. DGM creates a directed network of the activation by (1) determining the neighbors of each node, 2 (2) allowing a directed arrow between two neighbors if propagation of the electrical wave is possible, (3) repeating this process for all nodes, (4) if necessary, redistributing the nodes more uniformly and repeating step (1)-(3). Two possible steps are (5) to visualize the wavefront by creating an average graph or (6) find the cycles in the network which represent the reentry loops. Focal sources are nodes with only outgoing arrows.

Indexed as

Tachycardia, SupraventricularAlgorithmsElectrodesHumansSoftwareCardiac arrhythmiaDGMDirected graphsFocal sourcesRotational activitySoftware packageSustained research software

Identifiers

PMID35525879
OpenAlexW4228998154

What OpenQuestion holds

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Registered trials

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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.