ArticleFrontiers in physiology2022
An atrioventricular node model incorporating autonomic tone.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation.Frontiers in physiology · 2025Article
- ECG-based beat-to-beat assessment of AV node conduction properties during AF.Frontiers in physiology · 2025Article
- ECG-based estimation of respiration-induced autonomic modulation of AV nodal conduction during atrial fibrillation.Frontiers in physiology · 2024Article
- Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control.Frontiers in physiology · 2024Article
- Effect of Head-Up/-Down Tilt on ECG Segments and Myocardial Temporal Dispersion in Healthy Subjects.Biology · 2023Article
- Model-based estimation of AV-nodal refractory period and conduction delay trends from ECG.Frontiers in physiology · 2023Article
- A compact multi-functional model of the rabbit atrioventricular node with dual pathways.Frontiers in physiology · 2023Article
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Authors and funding
6 authors.
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Abstract
The response to atrial fibrillation (AF) treatment is differing widely among patients, and a better understanding of the factors that contribute to these differences is needed. One important factor may be differences in the autonomic nervous system (ANS) activity. The atrioventricular (AV) node plays an important role during AF in modulating heart rate. To study the effect of the ANS-induced activity on the AV nodal function in AF, mathematical modelling is a valuable tool. In this study, we present an extended AV node model that incorporates changes in autonomic tone. The extension was guided by a distribution-based sensitivity analysis and incorporates the ANS-induced changes in the refractoriness and conduction delay. Simulated RR series from the extended model driven by atrial impulse series obtained from clinical tilt test data were qualitatively evaluated against clinical RR series in terms of heart rate, RR series variability and RR series irregularity. The changes to the RR series characteristics during head-down tilt were replicated by a 10% decrease in conduction delay, while the changes during head-up tilt were replicated by a 5% decrease in the refractory period and a 10% decrease in the conduction delay. We demonstrate that the model extension is needed to replicate ANS-induced changes during tilt, indicating that the changes in RR series characteristics could not be explained by changes in atrial activity alone.
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