Phase singularity detection through phase map interpolation: Theory, advantages and limitations

Jacquemet, Vincent

doi:10.1016/j.compbiomed.2018.07.014

Cited by 7 publications

(8 citation statements)

References 19 publications

(32 reference statements)

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“…Also, it was shown that the number of detected rotors critically depends on the inter-electrode distance and parameters of the detection algorithm [39,40,41,42]. In addition, noise has a big effect on the detection of phase singularities [43,44], and far field and interpolation effects can induce permanent false rotors [45]. Many other methods have been developed to find rotors.…”

Section: Methods To Analyze the Datamentioning

confidence: 99%

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

Nieuwenhuyse

Hendrickx

Abeele

et al. 2022

Med Biol Eng Comput

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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.

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Section: Methods To Analyze the Datamentioning

confidence: 99%

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

Nieuwenhuyse

Hendrickx

Abeele

et al. 2022

Med Biol Eng Comput

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“…85 Jacquemet investigated the effects of different phase interpolation techniques on false-positive and -negative phase singularity detections. 86 Clinically, both activation time and phase mapping techniques are challenging to apply to sequentially acquired AF recordings due to the temporal instability of AF. For globally acquired data, activation mapping is feasible but challenging due to electrogram fractionation and because it requires the choice of a time window in which to display activation wavefronts.…”

Section: Phase Mappingmentioning

confidence: 99%

“…[ 85 ] Jacquemet investigated the effects of different phase interpolation techniques on false-positive and -negative phase singularity detections. [ 86 ]…”

Section: Cardiac Mapping Techniquesmentioning

confidence: 99%

“…Interpolation of phase does not have these problems; however, phase must be interpolated as a circular variable. [ 84 , 86 ] Pathik et al analysed basket catheter electrograms and reported 2D rotors that are not present in 3D, suggesting that correctly incorporating distance between splines in 2D analysis is important. [ 114 ] Reliable detection of activation times for atrial electrograms during AF is challenging, particularly for fractionated signals.…”

Section: Data Challengesmentioning

confidence: 99%

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Challenges Associated with Interpreting Mechanisms of AF

Roney

Wit

Peters

2020

Arrhythm Electrophysiol Rev

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Determining optimal treatment strategies for complex arrhythmogenesis in AF is confounded by the lack of consensus regarding the mechanisms causing AF. Studies report different mechanisms for AF, ranging from hierarchical drivers to anarchical multiple activation wavelets. Differences in the assessment of AF mechanisms are likely due to AF being recorded across diverse models using different investigational tools, spatial scales and clinical populations. The authors review different AF mechanisms, including anatomical and functional re-entry, hierarchical drivers and anarchical multiple wavelets. They then describe different cardiac mapping techniques and analysis tools, including activation mapping, phase mapping and fibrosis identification. They explain and review different data challenges, including differences between recording devices in spatial and temporal resolutions, spatial coverage and recording surface, and report clinical outcomes using different data modalities. They suggest future research directions for investigating the mechanisms underlying human AF.

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“…However, most PM methods require a regular grid and can be prone to errors [15] . Although more systematic research is needed, meandering [16] , [17] , fibrosis [18] , and noise [19] , [20] , [21] , [22] , [23] have been shown to negatively affect the detection of rotors of PM.…”

Section: Introductionmentioning

confidence: 99%

Directed Graph Mapping exceeds Phase Mapping for the detection of simulated 2D meandering rotors in fibrotic tissue with added noise

Lootens,

Janssens,

Van Den Abeele

et al. 2024

Computers in Biology and Medicine

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Phase singularity detection through phase map interpolation: Theory, advantages and limitations

Cited by 7 publications

References 19 publications

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

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

Challenges Associated with Interpreting Mechanisms of AF

Directed Graph Mapping exceeds Phase Mapping for the detection of simulated 2D meandering rotors in fibrotic tissue with added noise

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