Evidence map›Paper›PMID 34878119›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2022

Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology.

Natasja M S de Groot, Dipen Shah, Patrick M Boyle, Elad Anter, Gari D Clifford, Isabel Deisenhofer, Thomas Deneke, Pascal van Dessel, Olaf Doessel, Polychronis Dilaveris and 25 more

Open access · hybridAbstract readConsensus Statement
In one paragraph

Article in 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, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Regionalization of the atria for 3D electroanatomical mapping, cardiac imaging, and computational modelling: a clinical consensus statement of the European Heart Rhythm Association and the European Association of Cardiovascular Imaging of the ESC.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 · 2025
    Guideline
  2. Article
  3. Impact of Catheter Configuration on the Mapping of Atrial Fibrillation.Circulation. Arrhythmia and electrophysiology · 2026
    Article
  4. Review
  5. Article
  6. The Electrophysiology Lab of the Future.The Journal of innovations in cardiac rhythm management · 2025
    Article
  7. Physics-Inspired Diffusion Probabilistic Models for Improved Denoising in Intracardiac Time Series.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  8. Review
  9. Article
  10. Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques.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 · 2025
    Article
  11. Review
  12. Article
  13. Observational
  14. Review
  15. Navigating the Ebb and Flow of Atrial Fibrillation.JACC. Clinical electrophysiology · 2024
    Article
  16. Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Characterization of unipolar electrogram morphology: a novel tool for quantifying conduction inhomogeneity.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 · 2023
    Article
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

35 authors at 20 institutions in 16 countries.

Natasja M S de GrootDepartment of Cardiology, Erasmus University Medical Centre, Rotterdam, Delft University of Technology, Delft the Netherlands.
Dipen ShahCardiology Service, University Hospitals Geneva, Geneva, Switzerland.
Patrick M BoyleDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Elad AnterCardiac Electrophysiology Section, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio, USA.
Gari D CliffordDepartment of Biomedical Informatics, Emory University, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA.
Isabel DeisenhoferDepartment of Electrophysiology, German Heart Center Munich and Technical University of Munich, Munich, Germany.
Thomas DenekeDepartment of Cardiology, Rhon-klinikum Campus Bad Neustadt, Germany.
Pascal van DesselDepartment of Cardiology, Medisch Spectrum Twente, Twente, the Netherlands.
Olaf DoesselKarlsruher Institut für Technologie (KIT), Karlsruhe, Germany.
Polychronis Dilaveris1st University Department of Cardiology, National & Kapodistrian University of Athens School of Medicine, Hippokration Hospital, Athens, Greece.
Frank R HeinzelDepartment of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum and DZHK (German Centre for Cardiovascular Research), Berlin, Germany.
Suraj KapaDepartment of Cardiology, Mayo Clinic, Rochester, USA.
Pier D LambiaseBarts Heart Centre and University College, London, UK.
Joost LumensCardiovascular Research Institute Maastricht (CARIM) Maastricht University, Maastricht, the Netherlands.
Pyotr G PlatonovDepartment of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
Tachapong NgarmukosFaculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Juan Pablo MartinezAragon Institute of Engineering Research/IIS-Aragon and University of Zaragoza, Zaragoza, Spain, CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Zaragoza, Spain.
Alejandro Olaya SanchezDepartment of Cardiology, Hospital San José, Fundacion Universitaia de Ciencas de la Salud, Bogota, Colombia.
Yoshihide TakahashiDepartment of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Bruno P ValdigemDepartment of Cardiology, Hospital Rede D'or São Luiz, hospital Albert einstein and Dante pazzanese heart institute, São Paulo, Brasil.
Alle-Jan van der VeenDepartment Circuits and Systems, Delft University of Technology, Delft, the Netherlands.
Kevin VernooyDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, the Netherlands.
Ruben Casado-ArroyoDepartment of Cardiology, Erasme University Hospital, Université Libre de Bruxelles, Brussels, Belgium.
ESC Scientific Document Group
Tom De PotterCardiology Department, Olv Aalst, Aalst, Belgium.
Borislav DinovRhythmology Unit, Herzzentrum Leipzig, Leipzig, Germany.
Jedrzej KosiukDepartment of Electrophysiology, Helios Clinic Koethen, Koethen, Germany.
Dominik LinzMUMC, Maastricht Hart en Vaat Centrum, Maastricht, The Netherlands.
Lis NeubeckEdinburgh Napier University, Edinburgh, UK.
Emma SvennbergCardiology Department, Karolinska University Hospital, Sweden.
Young-Hoon KimCardiology Department, Korea University Medical Center, Seoul, Republic of Korea.
Elaine WanColumbia University, New York, USA.
Nestor Lopez-CabanillasAdventist Cardiovascular Institute of Buenos Aires,  Argentina.
Emanuela T LocatiDepartment of Arrhythmology and Electrophysiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Peter MacfarlaneElectrocardiology Group, Institute of Health and Wellbeing, University of Glasgow, Level 1, New Lister Building, Royal Infirmary, Glasgow, UK.
Glasgow Royal Infirmary · GBKarolinska University Hospital · SEMaastricht University Medical Centre · NLOnze Lieve Vrouwziekenhuis Hospital · BEBritish Heart Foundation · GBCleveland Clinic · USDelft University of Technology · NLDeutsches Herzzentrum der Charité · DEDeutsches Herzzentrum München · DEEdinburgh Napier University · GBErasmus MC · NLFundación Universitaria de Ciencias de la Salud · COGeorgia Institute of Technology · USGerman Centre for Cardiovascular Research · DEInstituto Cardiovascular de Buenos Aires · ARInstituto Dante Pazzanese de Cardiologia · BRKarlsruhe Institute of Technology · DEKorea University Medical Center · KRLund University · SEMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stimulate research aimed at closing knowledge gaps, and developing ideal AF recording and processing technologies. Recording and processing techniques for assessment of electrical activity during AF essential for diagnosis and guiding ablative therapy including body surface electrocardiograms (ECG) and endo- or epicardial electrograms (EGM) are evaluated. Discussion of (i) differences in uni-, bi-, and multi-polar (omnipolar/Laplacian) recording modes, (ii) impact of recording technologies on EGM morphology, (iii) global or local mapping using various types of EGM involving signal processing techniques including isochronal-, voltage- fractionation-, dipole density-, and rotor mapping, enabling derivation of parameters like atrial rate, entropy, conduction velocity/direction, (iv) value of epicardial and optical mapping, (v) AF detection by cardiac implantable electronic devices containing various detection algorithms applicable to stored EGMs, (vi) contribution of machine learning (ML) to further improvement of signals processing technologies. Recording and processing of EGM (or ECG) are the cornerstones of (body surface) mapping of AF. Currently available AF recording and processing technologies are mainly restricted to specific applications or have technological limitations. Improvements in AF mapping by obtaining highest fidelity source signals (e.g. catheter-electrode combinations) for signal processing (e.g. filtering, digitization, and noise elimination) is of utmost importance. Novel acquisition instruments (multi-polar catheters combined with improved physical modelling and ML techniques) will enable enhanced and automated interpretation of EGM recordings in the near future.

Indexed as

Atrial FibrillationCardiologyBody Surface Potential MappingHeart AtriaHumansLatin AmericaAtrial fibrillationCardiac implantable electronic devicesEHRA position paperMachine learningMappingSignal processingSignal recording

Identifiers

PMID34878119
PMCPMC11636570
OpenAlexW4200003425

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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.