Literature DB >> 19730915

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

Raúl Alcaraz1, José Joaquín Rieta, Fernando Hornero.   

Abstract

The development of non-invasive tools able to provide valuable information about the effectiveness of a shock in external electrical cardioversion (ECV) is clinically relevant to enhance these protocols in the treatment of atrial fibrillation (AF). The present contribution analyzes the ability of a non-linear regularity index, such as sample entropy (SampEn), to follow-up non-invasively AF organization under successive attempts of ECV and to predict the effectiveness of every single shock. To this respect, the atrial activity (AA) preceding each delivered shock was extracted by using a QRST cancellation method. Next, the main atrial wave (MAW), which can be considered as the fundamental waveform associated to the AA, was obtained by applying a selective filtering centered on the dominant atrial frequency (DAF). Finally, the MAW organization was estimated with SampEn and two thresholds (Th1 = 0.1223 and Th2 = 0.0832) were established to predict the ECV outcome. Results indicated that, prior to the first attempt, all the patients who needed only one shock to restore NSR were below Th1. In addition, most of them were above Th2 in case of AF relapsing during the first month. Regarding several shocks, all the patients who maintained NSR more than one month were below Th2 after the first shock. Moreover, all the patients who relapsed to AF during the first month were between Th1 and Th2 and, finally, all the patients with ineffective ECV were above Th1. After each unsuccessful shock, a SampEn relative decrease was observed for the patients who finally reverted to NSR, but the largest variation took place after the first attempt, thus indicating that this shock plays the most important role in the procedure. Indeed, by considering jointly the patients who needed only one shock and the patients who needed several shocks, 91.67% (22 out of 24) of ECVs resulting in NSR, 93.55% (29 out of 31) of ECVs relapsing to AF during the first month and 100% (10 out of 10) of ECVs in which NSR was not restored were correctly classified. As conclusion, the MAW organization analysis via SampEn can provide useful information that could improve the effectiveness of conventional external ECV protocols used in AF treatment.

Entities:  

Mesh:

Year:  2009        PMID: 19730915     DOI: 10.1007/s11517-009-0519-z

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


  51 in total

1.  Initial energy for elective external cardioversion of persistent atrial fibrillation.

Authors:  J A Joglar; M H Hamdan; K Ramaswamy; J D Zagrodzky; C J Sheehan; L L Nelson; T C Andrews; R L Page
Journal:  Am J Cardiol       Date:  2000-08-01       Impact factor: 2.778

2.  Approximate entropy as a measure of system complexity.

Authors:  S M Pincus
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

3.  Electrophysiologic predictors of the recurrence of persistent atrial fibrillation within 30 days of cardioversion.

Authors:  Merritt H Raitt; Walter Kusumoto; George D Giraud; John H McAnulty
Journal:  Am J Cardiol       Date:  2004-01-01       Impact factor: 2.778

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

Authors:  Raúl Alcaraz; José J Rieta; Fernando Hornero
Journal:  Rev Esp Cardiol       Date:  2008-02       Impact factor: 4.753

5.  Wavelet bidomain sample entropy analysis to predict spontaneous termination of atrial fibrillation.

Authors:  Raúl Alcaraz; José Joaquín Rieta
Journal:  Physiol Meas       Date:  2008-01-03       Impact factor: 2.833

6.  Sample entropy of the main atrial wave predicts spontaneous termination of paroxysmal atrial fibrillation.

Authors:  Raúl Alcaraz; José J Rieta
Journal:  Med Eng Phys       Date:  2009-06-05       Impact factor: 2.242

7.  The history of atrial fibrillation: the last 100 years.

Authors:  Eric N Prystowsky
Journal:  J Cardiovasc Electrophysiol       Date:  2008-05-05

8.  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

9.  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

10.  Linear and non-linear analysis of atrial signals and local activation period series during atrial-fibrillation episodes.

Authors:  L T Mainardi; A Porta; G Calcagnini; P Bartolini; A Michelucci; S Cerutti
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

View more
  3 in total

1.  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

2.  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.  Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation.

Authors:  Mark Sterling; David T Huang; Behnaz Ghoraani
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.