Characterization of AV-nodal properties during atrial fibrillation using a multilevel modelling approach
(2015) 42nd Computing in Cardiology Conference, CinC 2015- Abstract
- Atrial fibrillation (AF) is a common and increasingly prevalent condition in the western society. During AF, the AV-node controls ventricular response to the rapid atrial impulses. However, current research indicates that the individual variability in AV-nodal function is large. Thus, characterization of the AV-node is an important step in determining the optimal form of treatment on an individual basis. Here we employ a multilevel modeling approach, comparing a previously presented statistical model with a novel detailed network model of the AV-nodal function during AF. We demonstrate that both models can be fitted to generate output that closely resembles clinical ECG data, and that estimated parameters in the less complex model... (More)
- Atrial fibrillation (AF) is a common and increasingly prevalent condition in the western society. During AF, the AV-node controls ventricular response to the rapid atrial impulses. However, current research indicates that the individual variability in AV-nodal function is large. Thus, characterization of the AV-node is an important step in determining the optimal form of treatment on an individual basis. Here we employ a multilevel modeling approach, comparing a previously presented statistical model with a novel detailed network model of the AV-nodal function during AF. We demonstrate that both models can be fitted to generate output that closely resembles clinical ECG data, and that estimated parameters in the less complex model corresponds to limited ranges of parameters in the more complex model. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d06ba7b8-350a-41a7-8cc3-0ddecb8c2ac9
- author
- Wallman, Mikael and Sandberg, Frida LU
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Computing in Cardiology Conference (CinC), 2015
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 42nd Computing in Cardiology Conference, CinC 2015
- conference location
- Nice, France
- conference dates
- 2015-09-06 - 2015-09-09
- external identifiers
-
- scopus:84964009932
- ISBN
- 978-1-5090-0684-7
- 978-1-5090-0685-4
- DOI
- 10.1109/CIC.2015.7408690
- project
- Multilevel Modeling of the Atrioventricular Node for Personalized Treatment of Atrial Fibrillation
- language
- English
- LU publication?
- yes
- id
- d06ba7b8-350a-41a7-8cc3-0ddecb8c2ac9
- date added to LUP
- 2017-08-09 14:54:40
- date last changed
- 2024-10-14 10:45:12
@inproceedings{d06ba7b8-350a-41a7-8cc3-0ddecb8c2ac9, abstract = {{Atrial fibrillation (AF) is a common and increasingly prevalent condition in the western society. During AF, the AV-node controls ventricular response to the rapid atrial impulses. However, current research indicates that the individual variability in AV-nodal function is large. Thus, characterization of the AV-node is an important step in determining the optimal form of treatment on an individual basis. Here we employ a multilevel modeling approach, comparing a previously presented statistical model with a novel detailed network model of the AV-nodal function during AF. We demonstrate that both models can be fitted to generate output that closely resembles clinical ECG data, and that estimated parameters in the less complex model corresponds to limited ranges of parameters in the more complex model.}}, author = {{Wallman, Mikael and Sandberg, Frida}}, booktitle = {{Computing in Cardiology Conference (CinC), 2015}}, isbn = {{978-1-5090-0684-7}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Characterization of AV-nodal properties during atrial fibrillation using a multilevel modelling approach}}, url = {{http://dx.doi.org/10.1109/CIC.2015.7408690}}, doi = {{10.1109/CIC.2015.7408690}}, year = {{2015}}, }