Literature DB >> 18364184

[Non-invasive characterization of atrial activity immediately prior to termination of paroxysmal atrial fibrillation (corrected)].

Raúl Alcaraz1, José J Rieta, Fernando Hornero.   

Abstract

INTRODUCTION AND
OBJECTIVES: Atrial activity characterization with a high degree of detail can be reached by analyzing invasive recordings. Nevertheless, electrocardiographic signal processing tools can nowadays obtain equivalent information in some cases. The aim of this work is to study the electrocardiographic alterations produced during the last instants prior to spontaneous AF termination.
METHODS: Fifty patients in paroxysmal AF with an episode lasting more than two hours were selected. The last minute prior to spontaneous AF termination (group S) and the central minute (group N) from each episode were analyzed. Ventricular response, f waves morphology, and atrial activity spectral and organization were studied through the use of signal processing tools.
RESULTS: RR intervals variability was a discriminative parameter (group S 630+/-200 ms vs. group N 740+/-100 ms; P=.034), although a low specificity was obtained (54.2%). Significative differences between both groups were not reported by the f waves morphological study. Group S presented a significative low dominant atrial frequency mean value than group N (group S 5.010+/-0.671 Hz vs. group N 6.514+/-0.804 Hz, P=4.55x10(-9)). Finally, group N showed a considerable low atrial activity organization degree than group S (group S 0.071+/-0.012 vs. group N 0.103+/-0.013, P=6.73x10(-12)).
CONCLUSIONS: The analysis of the electrocardiographic interval prior to spontaneous AF termination has revealed an atrial activity organization process, which cannot be observed by visual inspection of f waves morphology, but can be successfully quantified through signal processing.

Entities:  

Mesh:

Year:  2008        PMID: 18364184

Source DB:  PubMed          Journal:  Rev Esp Cardiol        ISSN: 0300-8932            Impact factor:   4.753


  6 in total

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2.  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

3.  Autonomic modulation before and after paroxysmal atrial fibrillation events in patients with ischemic heart disease.

Authors:  Ting-Wei Ernie Liao; Li-Wei Lo; Yenn-Jiang Lin; Shih-Lin Chang; Yu-Feng Hu; Cheng-I Wu; Fa-Po Chung; Tze-Fan Chao; Jo-Nan Liao; Shih-Ann Chen
Journal:  Ann Noninvasive Electrocardiol       Date:  2020-05-26       Impact factor: 1.468

4.  Central tendency measure and wavelet transform combined in the non-invasive analysis of atrial fibrillation recordings.

Authors:  Raúl Alcaraz; José Joaquín Rieta
Journal:  Biomed Eng Online       Date:  2012-08-09       Impact factor: 2.819

5.  Application of Wavelet Entropy to predict atrial fibrillation progression from the surface ECG.

Authors:  Raúl Alcaraz; José J Rieta
Journal:  Comput Math Methods Med       Date:  2012-09-26       Impact factor: 2.238

6.  Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model.

Authors:  Yen Ting Lin; Eugene T Y Chang; Julie Eatock; Tobias Galla; Richard H Clayton
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

  6 in total

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