Literature DB >> 26188983

Frequency analysis of atrial fibrillation from the specific ECG leads V7-V9: A lower DF in lead V9 is a marker of potential atrial remodeling.

Naoko Sasaki1, Yasuo Okumura2, Ichiro Watanabe1, Andrew Madry3, Yuki Hamano3, Mizuki Nikaido4, Koichi Nagashima1, Kazumasa Sonoda1, Rikitake Kogawa1, Keiko Takahashi1, Kazuki Iso1, Kimie Ohkubo1, Toshiko Nakai1, Atsushi Hirayama1.   

Abstract

INTRODUCTION: High dominant frequency (DF) sites during atrial fibrillation (AF) play an important role in the perpetuation of AF. We investigated the relationship between the DFs from intracardiac electrograms (iEGM) and the surface electrocardiogram (ECG) during AF, and the relationship between the surface ECG DF and atrial remodeling.
METHODS: In 48 patients (57±11 years, 47 males, 20 paroxysmal), the V1-6 precordial leads and specific V7-9 ECG leads were recorded for 8s for an off-line analysis before AF ablation. The QRS-T complex was canceled by a template subtraction algorithm using the CEPAS™ system (Cuoretech Pty Ltd, Sydney, Australia). The iEGM DF maps, reconstructed using the Ensite NavX (St. Jude Medical, Inc., St. Paul, MN, USA) system, were simultaneously created for the right atrium and left atrium (LA) during AF.
RESULTS: The DF in leads V8 and V9 correlated well with the DF in the LA floor (R=0.55, p<0.01; R=0.68, p<0.01, respectively), and that in V1 with the right inferior pulmonary vein (R=0.45, p=0.01). Persistent AF patients had a significantly lower DF in lead V9 (5.7±1.0Hz vs. 6.7±1.5Hz, p=0.02) than paroxysmal AF patients.
CONCLUSIONS: A frequency analysis from lead V9 reflects the LA electrical activity.
Copyright © 2015 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Atrial remodeling; Dominant frequency; Surface electrocardiogram

Mesh:

Year:  2015        PMID: 26188983     DOI: 10.1016/j.jjcc.2015.06.006

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  3 in total

1.  Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves.

Authors:  Matthias Daniel Zink; Rita Laureanti; Ben J M Hermans; Laurent Pison; Sander Verheule; Suzanne Philippens; Nikki Pluymaekers; Mindy Vroomen; Astrid Hermans; Arne van Hunnik; Harry J G M Crijns; Kevin Vernooy; Dominik Linz; Luca Mainardi; Angelo Auricchio; Stef Zeemering; Ulrich Schotten
Journal:  Front Physiol       Date:  2022-03-04       Impact factor: 4.566

2.  Atrioventricular Synchronization for Detection of Atrial Fibrillation and Flutter in One to Twelve ECG Leads Using a Dense Neural Network Classifier.

Authors:  Irena Jekova; Ivaylo Christov; Vessela Krasteva
Journal:  Sensors (Basel)       Date:  2022-08-14       Impact factor: 3.847

3.  Localized rotors and focal impulse sources within the left atrium in human atrial fibrillation: A phase analysis of contact basket catheter electrograms.

Authors:  Naoko Sasaki; Yasuo Okumura; Ichiro Watanabe; Andrew Madry; Yuki Hamano; Mizuki Nikaido; Rikitake Kogawa; Koichi Nagashima; Keiko Takahashi; Kazuki Iso; Kimie Ohkubo; Toshiko Nakai; Atsushi Hirayama
Journal:  J Arrhythm       Date:  2016-02-03
  3 in total

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