Literature DB >> 26776725

Noninvasive Estimation of Epicardial Dominant High-Frequency Regions During Atrial Fibrillation.

Jorge Pedrón-Torrecilla1, Miguel Rodrigo1, Andreu M Climent2, Alejandro Liberos1, Esther Pérez-David2, Javier Bermejo2, Ángel Arenal2, José Millet1, Francisco Fernández-Avilés2, Omer Berenfeld3, Felipe Atienza2, María S Guillem1.   

Abstract

INTRODUCTION: Ablation of high dominant frequency (DF) sources in patients with atrial fibrillation (AF) is an effective treatment option for paroxysmal AF. The aim of this study was to evaluate the accuracy of noninvasive estimation of DF and electrical patterns determination by solving the inverse problem of the electrocardiography.
METHODS: Four representative AF patients with left-to-right and right-to-left atrial DF patterns were included in the study. For each patient, intracardiac electrograms from both atria were recorded simultaneously together with 67-lead body surface recordings. In addition to clinical recordings, realistic mathematical models of atria and torso anatomy with different DF patterns of AF were used. For both mathematical models and clinical recordings, inverse-computed electrograms were compared to intracardiac electrograms in terms of voltage, phase, and frequency spectrum relative errors.
RESULTS: Comparison between intracardiac and inverse computed electrograms for AF patients showed 8.8 ± 4.4% errors for DF, 32 ± 4% for voltage, and 65 ± 4% for phase determination. These results were corroborated by mathematical simulations showing that the inverse problem solution was able to reconstruct the frequency spectrum and the DF maps with relative errors of 5.5 ± 4.1%, whereas the reconstruction of the electrograms or the instantaneous phase presented larger relative errors (i.e., 38 ± 15% and 48 ± 14 % respectively, P < 0.01).
CONCLUSIONS: Noninvasive reconstruction of atrial frequency maps can be achieved by solving the inverse problem of electrocardiography with a higher accuracy than temporal distribution patterns.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  atrial fibrillation; body surface potential mapping; dominant frequency; inverse problem; noninvasive mapping

Mesh:

Year:  2016        PMID: 26776725      PMCID: PMC5547887          DOI: 10.1111/jce.12931

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  30 in total

1.  Stable microreentrant sources as a mechanism of atrial fibrillation in the isolated sheep heart.

Authors:  R Mandapati; A Skanes; J Chen; O Berenfeld; J Jalife
Journal:  Circulation       Date:  2000-01-18       Impact factor: 29.690

Review 2.  HRS/EHRA/ECAS expert Consensus Statement on catheter and surgical ablation of atrial fibrillation: recommendations for personnel, policy, procedures and follow-up. A report of the Heart Rhythm Society (HRS) Task Force on catheter and surgical ablation of atrial fibrillation.

Authors:  Hugh Calkins; Josep Brugada; Douglas L Packer; Riccardo Cappato; Shih-Ann Chen; Harry J G Crijns; Ralph J Damiano; D Wyn Davies; David E Haines; Michel Haissaguerre; Yoshito Iesaka; Warren Jackman; Pierre Jais; Hans Kottkamp; Karl Heinz Kuck; Bruce D Lindsay; Francis E Marchlinski; Patrick M McCarthy; J Lluis Mont; Fred Morady; Koonlawee Nademanee; Andrea Natale; Carlo Pappone; Eric Prystowsky; Antonio Raviele; Jeremy N Ruskin; Richard J Shemin
Journal:  Heart Rhythm       Date:  2007-04-30       Impact factor: 6.343

3.  Adaptive step ODE algorithms for the 3D simulation of electric heart activity with graphics processing units.

Authors:  V M Garcia-Molla; A Liberos; A Vidal; M S Guillem; J Millet; A Gonzalez; F J Martinez-Zaldivar; A M Climent
Journal:  Comput Biol Med       Date:  2013-11-04       Impact factor: 4.589

4.  Manifestation of left atrial events and interatrial frequency gradients in the surface electrocardiogram during atrial fibrillation: contributions from posterior leads.

Authors:  Simona Petrutiu; Alan V Sahakian; Westby Fisher; Steven Swiryn
Journal:  J Cardiovasc Electrophysiol       Date:  2009-06-26

5.  The inverse problem of electrocardiography: a solution in terms of single- and double-layer sources of the epicardial surface.

Authors:  B M Horácek; J C Clements
Journal:  Math Biosci       Date:  1997-09       Impact factor: 2.144

6.  Noninvasive characterization of epicardial activation in humans with diverse atrial fibrillation patterns.

Authors:  Phillip S Cuculich; Yong Wang; Bruce D Lindsay; Mitchell N Faddis; Richard B Schuessler; Ralph J Damiano; Li Li; Yoram Rudy
Journal:  Circulation       Date:  2010-09-20       Impact factor: 29.690

7.  Spatiotemporal characterization of atrial activation in persistent human atrial fibrillation: multisite electrogram analysis and surface electrocardiographic correlations--a pilot study.

Authors:  Samer R Dibs; Jason Ng; Rishi Arora; Rod S Passman; Alan H Kadish; Jeffrey J Goldberger
Journal:  Heart Rhythm       Date:  2008-01-29       Impact factor: 6.343

8.  Noninvasive localization of maximal frequency sites of atrial fibrillation by body surface potential mapping.

Authors:  Maria S Guillem; Andreu M Climent; Jose Millet; Ángel Arenal; Francisco Fernández-Avilés; José Jalife; Felipe Atienza; Omer Berenfeld
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-02-26

9.  Real-time dominant frequency mapping and ablation of dominant frequency sites in atrial fibrillation with left-to-right frequency gradients predicts long-term maintenance of sinus rhythm.

Authors:  Felipe Atienza; Jesús Almendral; José Jalife; Sharon Zlochiver; Robert Ploutz-Snyder; Esteban G Torrecilla; Angel Arenal; Jérôme Kalifa; Francisco Fernández-Avilés; Omer Berenfeld
Journal:  Heart Rhythm       Date:  2008-10-22       Impact factor: 6.343

10.  Quantitative assessment of the spatial organization of atrial fibrillation in the intact human heart.

Authors:  G W Botteron; J M Smith
Journal:  Circulation       Date:  1996-02-01       Impact factor: 29.690

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  8 in total

1.  Highest dominant frequency and rotor positions are robust markers of driver location during noninvasive mapping of atrial fibrillation: A computational study.

Authors:  Miguel Rodrigo; Andreu M Climent; Alejandro Liberos; Francisco Fernández-Avilés; Omer Berenfeld; Felipe Atienza; Maria S Guillem
Journal:  Heart Rhythm       Date:  2017-04-10       Impact factor: 6.343

2.  Minimal configuration of body surface potential mapping for discrimination of left versus right dominant frequencies during atrial fibrillation.

Authors:  M Rodrigo; A M Climent; A Liberos; F Fernández-Aviles; F Atienza; M S Guillem; O Berenfeld
Journal:  Pacing Clin Electrophysiol       Date:  2017-07-12       Impact factor: 1.976

Review 3.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

4.  Regularization Techniques for ECG Imaging during Atrial Fibrillation: A Computational Study.

Authors:  Carlos Figuera; Víctor Suárez-Gutiérrez; Ismael Hernández-Romero; Miguel Rodrigo; Alejandro Liberos; Felipe Atienza; María S Guillem; Óscar Barquero-Pérez; Andreu M Climent; Felipe Alonso-Atienza
Journal:  Front Physiol       Date:  2016-10-14       Impact factor: 4.566

Review 5.  Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications.

Authors:  Matthijs Cluitmans; Dana H Brooks; Rob MacLeod; Olaf Dössel; María S Guillem; Peter M van Dam; Jana Svehlikova; Bin He; John Sapp; Linwei Wang; Laura Bear
Journal:  Front Physiol       Date:  2018-09-20       Impact factor: 4.566

6.  Nonlinear electrocardiographic imaging using polynomial approximation networks.

Authors:  Abhejit Rajagopal; Vincent Radzicki; Hua Lee; Shivkumar Chandrasekaran
Journal:  APL Bioeng       Date:  2018-10-16

7.  Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping.

Authors:  Miguel Rodrigo; Kian Waddell; Sarah Magee; Albert J Rogers; Mahmood Alhusseini; Ismael Hernandez-Romero; Alejandro Costoya-Sánchez; Alejandro Liberos; Sanjiv M Narayan
Journal:  Front Physiol       Date:  2021-01-06       Impact factor: 4.566

8.  Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation.

Authors:  Rubén Molero; Ana González-Ascaso; Ismael Hernández-Romero; David Lundback-Mompó; Andreu M Climent; María S Guillem
Journal:  Front Physiol       Date:  2022-08-29       Impact factor: 4.755

  8 in total

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