A spatially extended model of the human atrioventricular node
(2017) 44th Computing in Cardiology, CinC 2017 In Computing in Cardiology- Abstract
The atrioventricular (AV) node plays a crucial role during many supraventricular tachycardias (SVT). To better understand its function under these complex conditions, mathematical modelling has emerged as a valuable tool. The model presented here builds on a recently published 1D model of the human AV-node, consisting of a series of interacting nodes, each with separate dynamics in refractory time and conduction delay. Here, we extend the formulation to 2D and demonstrate its ability to reproduce clinical data. Subsequently, we use it to study how AV-nodal properties for clinically assessed single and dual AV-node physiology affect activation for regular and stochastic input. In particular we study the effect of functional gradients... (More)
The atrioventricular (AV) node plays a crucial role during many supraventricular tachycardias (SVT). To better understand its function under these complex conditions, mathematical modelling has emerged as a valuable tool. The model presented here builds on a recently published 1D model of the human AV-node, consisting of a series of interacting nodes, each with separate dynamics in refractory time and conduction delay. Here, we extend the formulation to 2D and demonstrate its ability to reproduce clinical data. Subsequently, we use it to study how AV-nodal properties for clinically assessed single and dual AV-node physiology affect activation for regular and stochastic input. In particular we study the effect of functional gradients within the AV node on ventricular response during atrial pacing and atrial fibrillation. Simulation results display important emergent features such as pathway switching and concealed conduction, and show differences in AF response that are not present in response to pacing. Simulation of a single impulse takes around 30 ms, admitting interactive use on clinical time scales as well as parameter estimation and uncertainty quantification. To our knowledge, the presented model is the first spatially extended human AV-node model, and as such represents a novel tool for understanding the human AV-nodal function in both healthy and diseased individuals, thereby paving the way for improved SVT diagnosis and therapy.
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- author
- Wallman, Mikael and Sandberg, Frida LU
- organization
- publishing date
- 2017-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2017 Computing in Cardiology (CinC)
- series title
- Computing in Cardiology
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 44th Computing in Cardiology, CinC 2017
- conference location
- Rennes, France
- conference dates
- 2017-09-24 - 2017-09-27
- external identifiers
-
- scopus:85045116425
- ISSN
- 2325-8861
- ISBN
- 978-1-5386-4555-0
- 978-1-5386-6630-2
- DOI
- 10.22489/CinC.2017.119-122
- project
- Multilevel Modeling of the Atrioventricular Node for Personalized Treatment of Atrial Fibrillation
- language
- English
- LU publication?
- yes
- id
- 1f68b2c7-46af-421e-a391-1234d90a845f
- date added to LUP
- 2018-04-17 08:38:40
- date last changed
- 2024-02-20 01:34:33
@inproceedings{1f68b2c7-46af-421e-a391-1234d90a845f,
abstract = {{<p>The atrioventricular (AV) node plays a crucial role during many supraventricular tachycardias (SVT). To better understand its function under these complex conditions, mathematical modelling has emerged as a valuable tool. The model presented here builds on a recently published 1D model of the human AV-node, consisting of a series of interacting nodes, each with separate dynamics in refractory time and conduction delay. Here, we extend the formulation to 2D and demonstrate its ability to reproduce clinical data. Subsequently, we use it to study how AV-nodal properties for clinically assessed single and dual AV-node physiology affect activation for regular and stochastic input. In particular we study the effect of functional gradients within the AV node on ventricular response during atrial pacing and atrial fibrillation. Simulation results display important emergent features such as pathway switching and concealed conduction, and show differences in AF response that are not present in response to pacing. Simulation of a single impulse takes around 30 ms, admitting interactive use on clinical time scales as well as parameter estimation and uncertainty quantification. To our knowledge, the presented model is the first spatially extended human AV-node model, and as such represents a novel tool for understanding the human AV-nodal function in both healthy and diseased individuals, thereby paving the way for improved SVT diagnosis and therapy.</p>}},
author = {{Wallman, Mikael and Sandberg, Frida}},
booktitle = {{2017 Computing in Cardiology (CinC)}},
isbn = {{978-1-5386-4555-0}},
issn = {{2325-8861}},
language = {{eng}},
month = {{01}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{Computing in Cardiology}},
title = {{A spatially extended model of the human atrioventricular node}},
url = {{http://dx.doi.org/10.22489/CinC.2017.119-122}},
doi = {{10.22489/CinC.2017.119-122}},
year = {{2017}},
}