Literature DB >> 16101624

Surface atrial frequency analysis in patients with atrial fibrillation: assessing the effects of linear left atrial ablation.

Dan Raine1, Philip Langley, Alan Murray, Stephen S Furniss, John P Bourke.   

Abstract

INTRODUCTION: Our group has shown previously that measurements of atrial frequency can be obtained from surface 12-lead ECG recordings of patients during atrial fibrillation (AF), using a combination of principal component and Fourier transform algorithms. Such measurements are reproducible over time and change with drug manipulation of the arrhythmia. AIMS: To determine whether linear left atrial ablation, using a combination of "roof" and "mitral isthmus" lines results in changes in surface atrial frequency during AF and to assess the contribution of each individual line when sited sequentially. METHODS AND
RESULTS: Computerized recordings from 26 patients, who had undergone linear ablation procedures for AF, were reviewed. The atrial signal was extracted from the 12-lead ECG data by principal component analysis and the main frequency component identified using Fourier analysis. Atrial frequency before and after these two standard ablation lines was compared. Atrial frequency decreased significantly after the combination of roof and mitral isthmus lines (5.66 vs 5.15 Hz) and when either roof (5.61 vs 5.13 Hz) or mitral isthmus (5.89 vs 5.75 Hz) lines were sited first. However, only the roof line led to a significant reduction in atrial frequency when sited second (5.64 vs 5.49 Hz).
CONCLUSIONS: Measurements of atrial frequency can be obtained from surface 12-lead ECG recordings during AF and change as predicted in response to linear left atrial ablation. This technique may be useful in assessing antiarrhythmic treatments for AF.

Entities:  

Mesh:

Year:  2005        PMID: 16101624     DOI: 10.1111/j.1540-8167.2005.40456.x

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


  5 in total

1.  Spatial complexity and spectral distribution variability of atrial activity in surface ECG recordings of atrial fibrillation.

Authors:  Luigi Y Di Marco; John P Bourke; Philip Langley
Journal:  Med Biol Eng Comput       Date:  2012-03-09       Impact factor: 2.602

2.  Non-invasive identification of stable rotors and focal sources for human atrial fibrillation: mechanistic classification of atrial fibrillation from the electrocardiogram.

Authors:  Aled R Jones; David E Krummen; Sanjiv M Narayan
Journal:  Europace       Date:  2013-02-28       Impact factor: 5.214

3.  Early temporal and spatial regularization of persistent atrial fibrillation predicts termination and arrhythmia-free outcome.

Authors:  Andrei Forclaz; Sanjiv M Narayan; Daniel Scherr; Nick Linton; Amir S Jadidi; Isabelle Nault; Lena Rivard; Shinsuke Miyazaki; Laurent Uldry; Matthew Wright; Ashok J Shah; Xingpeng Liu; Olivier Xhaet; Nicolas Derval; Sébastien Knecht; Frédéric Sacher; Pierre Jaïs; Mélèze Hocini; Michel Haïssaguerre
Journal:  Heart Rhythm       Date:  2011-05-14       Impact factor: 6.343

4.  A review of mitral isthmus ablation.

Authors:  Kelvin Ck Wong; Timothy R Betts
Journal:  Indian Pacing Electrophysiol J       Date:  2012-07-28

5.  Principal component analysis of atrial fibrillation: inclusion of posterior ECG leads does not improve correlation with left atrial activity.

Authors:  Daniel Raine; Philip Langley; Ewen Shepherd; Stephen Lord; Stephen Murray; Alan Murray; John P Bourke
Journal:  Med Eng Phys       Date:  2015-01-22       Impact factor: 2.242

  5 in total

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