Literature DB >> 9683908

Non-invasive assessment of the atrial cycle length during atrial fibrillation in man: introducing, validating and illustrating a new ECG method.

M Holm1, S Pehrson, M Ingemansson, L Sörnmo, R Johansson, L Sandhall, M Sunemark, B Smideberg, C Olsson, S B Olsson.   

Abstract

OBJECTIVES: Atrial fibrillation (AF) in man has previously been shown to include a wide variety of atrial activity. Assessment of the characteristics of this arrhythmia with a commonly applicable tool may therefore be important in the choice and evaluation of different therapeutic strategies. As the AF cycle length has been shown to correlate locally with atrial refractoriness and globally with the degree of atrial organization, with, in general, shorter cycle length during apparently random AF compared to more organized AF, we have developed a new method for non-invasive assessment of the AF cycle length using the surface and the esophagus (ESO) ECG. METHODS AND
RESULTS: From the frequency spectrum of the residual ECG, created by suppression of the QRST complexes, the dominant atrial cycle length (DACL) was derived. By comparison with multiple intracardiac simultaneously acquired right and left AF cycle lengths in patients with paroxysmal AF, we found that the DACL in lead V1, ranging from 130 to 185 ms, well represented a spatial average of the right AF cycle lengths, whereas the DACL in the ESO ECG, ranging from 140 to 185 ms, reflected both the right and the left AF cycle length, where the influence from each structure depended on the atrial anatomy of the individual, as determined by MRI. In patients with chronic AF, the method was capable of following changes in the AF cycle length due to administration of D,L-sotalol and 5 min of ECG recording was sufficient for the DACL to be reproducible.
CONCLUSIONS: We conclude that this new non-invasive method, named 'Frequency Analysis of Fibrillatory ECG' (FAF-ECG), is capable of assessing both the magnitude and the dynamics of the atrial fibrillation cycle length in man.

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Year:  1998        PMID: 9683908     DOI: 10.1016/s0008-6363(97)00289-7

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  29 in total

1.  Detection of autonomic modulation in permanent atrial fibrillation.

Authors:  M Stridh; C Meurling; B Olsson; L Sörnmo
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

Review 2.  Atrial Remodelling : Role in Atrial Fibrillation Ablation.

Authors:  Herko Grubitzsch; Wilhelm Haverkamp
Journal:  J Atr Fibrillation       Date:  2012-12-16

3.  Predictors of successful cardioversion with vernakalant in patients with recent-onset atrial fibrillation.

Authors:  Natalia Mochalina; Tord Juhlin; Bertil Öhlin; Jonas Carlson; Fredrik Holmqvist; Pyotr G Platonov
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-07-09       Impact factor: 1.468

4.  Exponential distribution of long heart beat intervals during atrial fibrillation and their relevance for white noise behaviour in power spectrum.

Authors:  Thomas Hennig; Philipp Maass; Junichiro Hayano; Stefan Heinrichs
Journal:  J Biol Phys       Date:  2006-12-15       Impact factor: 1.365

5.  Pilot study: Noninvasive monitoring of oral flecainide's effects on atrial electrophysiology during persistent human atrial fibrillation using the surface electrocardiogram.

Authors:  Daniela Husser; Karl-Heinz Binias; Martin Stridh; Leif Sornmo; S Bertil Olsson; Jochen Molling; Christoph Geller; Helmut U Klein; Andreas Bollmann
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-04       Impact factor: 1.468

Review 6.  Clinical Use And Limitations Of Non-Invasive Electrophysiological Tests In Patients With Atrial Fibrillation.

Authors:  Valentina D A Corino; Luca T Mainardi; Frida Sandberg; Leif Sörnmo; Pyotr G Platonov
Journal:  J Atr Fibrillation       Date:  2016-06-30

7.  Right atrial organization and wavefront analysis in atrial fibrillation.

Authors:  Ulrike Richter; Andreas Bollmann; Daniela Husser; Martin Stridh
Journal:  Med Biol Eng Comput       Date:  2009-10-15       Impact factor: 2.602

8.  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

9.  Association between atrial fibrillatory rate and heart rate variability in patients with atrial fibrillation and congestive heart failure.

Authors:  Valentina D A Corino; Iwona Cygankiewicz; Luca T Mainardi; Martin Stridh; Rafael Vasquez; Antonio Bayes de Luna; Fredrik Holmqvist; Wojciech Zareba; Pyotr G Platonov
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-11-22       Impact factor: 1.468

10.  Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion.

Authors:  Raúl Alcaraz; José Joaquín Rieta; Fernando Hornero
Journal:  Med Biol Eng Comput       Date:  2009-12       Impact factor: 2.602

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