Literature DB >> 19830469

Right atrial organization and wavefront analysis in atrial fibrillation.

Ulrike Richter1, Andreas Bollmann, Daniela Husser, Martin Stridh.   

Abstract

The purpose of this study was to develop techniques to quantify the propagation pattern of the electrical activation during atrial fibrillation (AF) along a one-dimensional catheter. Taking intra-atrial signal organization aspects into account, the atrial activations are detected and combined into wavefronts. Parameters describing wavefront consistency and activation order along the catheter are defined, and the relationship of wavefront consistency to body surface parameters, namely AF frequency and exponential decay, is investigated. The database consisted of 26 10-s recordings from patients during drug-refractory AF, in which five adjacent bipolar electrograms from a catheter in the right atrium were recorded. The 12-lead ECG was recorded simultaneously. The degree of wavefront consistency provided insights into the temporal variability of the activation order, an aspect which was not reflected by the body surface parameters. However, AF frequency was able to distinguish between recordings with different degrees of intra-atrial signal organization (p = 0.008).

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Year:  2009        PMID: 19830469     DOI: 10.1007/s11517-009-0540-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  29 in total

1.  Sequential characterization of atrial tachyarrhythmias based on ECG time-frequency analysis.

Authors:  Martin Stridh; Leif Sörnmo; Carl J Meurling; S Bertil Olsson
Journal:  IEEE Trans Biomed Eng       Date:  2004-01       Impact factor: 4.538

2.  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
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Review 3.  Electrocardiology of atrial fibrillation. Current knowledge and future challenges.

Authors:  Andreas Bollmann; Federico Lombardi
Journal:  IEEE Eng Med Biol Mag       Date:  2006 Nov-Dec

4.  A morphology-based approach to the evaluation of atrial fibrillation organization.

Authors:  Luca Faes; Flavia Ravelli
Journal:  IEEE Eng Med Biol Mag       Date:  2007 Jul-Aug

5.  Feature extraction of the atrial fibrillation signal using the continuous wavelet transform.

Authors:  Ken W Lee; Thomas H Everett; H Tolga Ilhan; Ivan Linscott; Jeffrey E Olgin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

6.  Assessment of global atrial fibrillation organization to optimize timing of atrial defibrillation.

Authors:  T H Everett; J R Moorman; L C Kok; J G Akar; D E Haines
Journal:  Circulation       Date:  2001-06-12       Impact factor: 29.690

7.  A high-temporal resolution algorithm for quantifying organization during atrial fibrillation.

Authors:  H J Sih; D P Zipes; E J Berbari; J E Olgin
Journal:  IEEE Trans Biomed Eng       Date:  1999-04       Impact factor: 4.538

8.  Measure of synchronisation of right atrial depolarisation wavefronts during atrial fibrillation.

Authors:  V Barbaro; P Bartolini; G Calcagnini; F Censi; A Michelucci
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

9.  Quantification of synchronization during atrial fibrillation by Shannon entropy: validation in patients and computer model of atrial arrhythmias.

Authors:  Michela Masè; Luca Faes; Renzo Antolini; Marco Scaglione; Flavia Ravelli
Journal:  Physiol Meas       Date:  2005-09-23       Impact factor: 2.833

10.  High-density mapping of electrically induced atrial fibrillation in humans.

Authors:  K T Konings; C J Kirchhof; J R Smeets; H J Wellens; O C Penn; M A Allessie
Journal:  Circulation       Date:  1994-04       Impact factor: 29.690

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  3 in total

1.  Generation of realistic atrial to atrial interval series during atrial fibrillation.

Authors:  Andreu M Climent; Felipe Atienza; Jose Millet; Maria S Guillem
Journal:  Med Biol Eng Comput       Date:  2011-08-10       Impact factor: 2.602

2.  Toward discerning the mechanisms of atrial fibrillation from surface electrocardiogram and spectral analysis.

Authors:  Omer Berenfeld
Journal:  J Electrocardiol       Date:  2010-08-01       Impact factor: 1.438

3.  The Nightingale Prize 2010 for best MBEC paper in 2009 awarded.

Authors:  Jos A E Spaan
Journal:  Med Biol Eng Comput       Date:  2010-12       Impact factor: 2.602

  3 in total

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