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Characterization of AV-nodal properties during atrial fibrillation using a multilevel modelling approach

Wallman, Mikael and Sandberg, Frida LU (2015) 42nd Computing in Cardiology Conference, CinC 2015 In 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)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Computing in Cardiology Conference (CinC), 2015
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
42nd Computing in Cardiology Conference, CinC 2015
external identifiers
  • scopus:84964009932
ISBN
978-1-5090-0685-4
978-1-5090-0684-7
DOI
10.1109/CIC.2015.7408690
language
English
LU publication?
yes
id
d06ba7b8-350a-41a7-8cc3-0ddecb8c2ac9
date added to LUP
2017-08-09 14:54:40
date last changed
2017-11-14 09:52:33
@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         = {978-1-5090-0685-4 },
  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},
  year         = {2015},
}