Literature DB >> 12508532

A mathematical model of human atrioventricular nodal function incorporating concealed conduction.

Peter Jørgensen1, Carsten Schäfer, Peter G Guerra, Mario Talajic, Stanley Nattel, Leon Glass.   

Abstract

This work develops a mathematical model for the atrioventricular (AV) node in the human heart, based on recordings of electrical activity in the atria (the upper chambers of the heart) and the ventricles (the lower chambers of the heart). Intracardiac recordings of the atrial and ventricular activities were recorded from one patient with atrial flutter and one with atrial fibrillation. During these arrhythmias, not all beats in the atria are conducted to the ventricles. Some are blocked (concealed). However, the blocked beats can affect the properties of the AV node. The activation times of the atrial events were regarded as inputs to a mathematical model of conduction in the AV node, including a representation of AV nodal concealment. The model output was compared to the recorded ventricular response to search for and identify the best possible parameter combinations of the model. Good agreement between the distribution of interbeat intervals in the model and data for durations of 5 min was achieved. A model of AV nodal behavior during atrial flutter and atrial fibrillation could potentially help to understand the relative roles of atrial input activity and intrinsic AV nodal properties in determining the ventricular response.

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Year:  2002        PMID: 12508532     DOI: 10.1006/bulm.2002.0313

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

1.  Generation of realistic atrial to atrial interval series during atrial fibrillation.

Authors:  Andreu M Climent; Felipe Atienza; Jose Millet; Maria S Guillem
Journal:  Med Biol Eng Comput       Date:  2011-08-10       Impact factor: 2.602

2.  Characterisation of human AV-nodal properties using a network model.

Authors:  Mikael Wallman; Frida Sandberg
Journal:  Med Biol Eng Comput       Date:  2017-07-13       Impact factor: 2.602

3.  Atrioventricular conduction properties in patients with prolonged pauses undergoing ablation of longstanding persistent atrial fibrillation: do pauses during atrial fibrillation matter?

Authors:  Akinori Sairaku; Yukiko Nakano; Noboru Oda; Yuko Makita; Kenta Kajihara; Takehito Tokuyama; Chikaaki Motoda; Mai Fujiwara; Yasuki Kihara
Journal:  J Interv Card Electrophysiol       Date:  2012-02-23       Impact factor: 1.900

4.  Simulation of Cardiac Arrhythmias Using a 2D Heterogeneous Whole Heart Model.

Authors:  Minimol Balakrishnan; V Srinivasa Chakravarthy; Soma Guhathakurta
Journal:  Front Physiol       Date:  2015-12-21       Impact factor: 4.566

5.  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

6.  ECG based assessment of circadian variation in AV-nodal conduction during AF-Influence of rate control drugs.

Authors:  Mattias Karlsson; Mikael Wallman; Pyotr G Platonov; Sara R Ulimoen; Frida Sandberg
Journal:  Front Physiol       Date:  2022-10-04       Impact factor: 4.755

7.  An atrioventricular node model incorporating autonomic tone.

Authors:  Felix Plappert; Mikael Wallman; Mostafa Abdollahpur; Pyotr G Platonov; Sten Östenson; Frida Sandberg
Journal:  Front Physiol       Date:  2022-09-15       Impact factor: 4.755

Review 8.  Model Systems for Addressing Mechanism of Arrhythmogenesis in Cardiac Repair.

Authors:  Xiao-Dong Zhang; Phung N Thai; Deborah K Lieu; Nipavan Chiamvimonvat
Journal:  Curr Cardiol Rep       Date:  2021-05-29       Impact factor: 2.931

  8 in total

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