Literature DB >> 27230723

P-wave complexity in normal subjects and computer models.

Mark Potse1, Theo A R Lankveld2, Stef Zeemering3, Pieter C Dagnelie4, Coen D A Stehouwer5, Ronald M Henry5, André C Linnenbank6, Nico H L Kuijpers7, Ulrich Schotten3.   

Abstract

BACKGROUND: P waves reported in electrocardiology literature uniformly appear smooth. Computer simulation and signal analysis studies have shown much more complex shapes.
OBJECTIVE: We systematically investigated P-wave complexity in normal volunteers using high-fidelity electrocardiographic techniques without filtering.
METHODS: We recorded 5-min multichannel ECGs in 16 healthy volunteers. Noise and interference were reduced by averaging over 300 beats per recording. In addition, normal P waves were simulated with a realistic model of the human atria.
RESULTS: Measured P waves had an average of 4.1 peaks (range 1-10) that were reproducible between recordings. Simulated P waves demonstrated similar complexity, which was related to structural discontinuities in the computer model of the atria.
CONCLUSION: The true shape of the P wave is very irregular and is best seen in ECGs averaged over many beats.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computer models; Electrocardiogram; Filtering; Interatrial block; P wave; Recording techniques

Mesh:

Year:  2016        PMID: 27230723     DOI: 10.1016/j.jelectrocard.2016.05.005

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  5 in total

1.  Electrocardiographic spatial loops indicate organization of atrial fibrillation minutes before ablation-related transitions to atrial tachycardia.

Authors:  Tina Baykaner; Rishi Trikha; Junaid A B Zaman; David E Krummen; Paul J Wang; Sanjiv M Narayan
Journal:  J Electrocardiol       Date:  2017-01-15       Impact factor: 1.438

2.  A Lead Field Two-Domain Model for Longitudinal Neural Tracts-Analytical Framework and Implications for Signal Bandwidth.

Authors:  G Fischer; M Kofler; M Handler; D Baumgarten
Journal:  Comput Math Methods Med       Date:  2020-05-29       Impact factor: 2.238

3.  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

4.  Epicardial Fibrosis Explains Increased Endo-Epicardial Dissociation and Epicardial Breakthroughs in Human Atrial Fibrillation.

Authors:  Ali Gharaviri; Elham Bidar; Mark Potse; Stef Zeemering; Sander Verheule; Simone Pezzuto; Rolf Krause; Jos G Maessen; Angelo Auricchio; Ulrich Schotten
Journal:  Front Physiol       Date:  2020-02-21       Impact factor: 4.566

5.  Clinical and electrophysiological predictors of device-detected new-onset atrial fibrillation during 3 years after cardiac surgery.

Authors:  Elham Bidar; Stef Zeemering; Martijn Gilbers; Aaron Isaacs; Sander Verheule; Matthias D Zink; Bart Maesen; Sander Bramer; Michal Kawczynski; Isabelle C Van Gelder; Harry J G M Crijns; Jos G Maessen; Ulrich Schotten
Journal:  Europace       Date:  2021-12-07       Impact factor: 5.486

  5 in total

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