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Model-based analysis of the ventricular response during atrial fibrillation

Sandberg, Frida LU ; Corino, Valentina; Mainardi, Luca and Sörnmo, Leif LU (2011) Computing in Cardiology Conference (CinC) 2011 In Computers in Cardiology p.1-4
Abstract
We study a model of the atrioventricular node function during atrial fibrillation (AF), for which the model parameters can be estimated from the ECG. The proposed model is defined by parameters which characterize the arrival rate of atrial impulses, the probability of an impulse choosing either one of the two atrioventricular nodal pathways, the refractory periods of these pathways, and the prolongation of the refractory periods. The parameters are estimated from the RR intervals using maximum likelihood estimation, except for the shorter refractory period which is estimated from the RR interval Poincare plot, and the mean arrival rate of atrial impulses by the AF frequency estimated from the ECG. The model was evaluated on 30-min ECG... (More)
We study a model of the atrioventricular node function during atrial fibrillation (AF), for which the model parameters can be estimated from the ECG. The proposed model is defined by parameters which characterize the arrival rate of atrial impulses, the probability of an impulse choosing either one of the two atrioventricular nodal pathways, the refractory periods of these pathways, and the prolongation of the refractory periods. The parameters are estimated from the RR intervals using maximum likelihood estimation, except for the shorter refractory period which is estimated from the RR interval Poincare plot, and the mean arrival rate of atrial impulses by the AF frequency estimated from the ECG. The model was evaluated on 30-min ECG segments from 36 AF patients. The results showed that 88% of the segments can be accurately modeled when the estimated probability density function (PDF) and an empirical PDF were at least 80% in agreement. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Computers in Cardiology
pages
1 - 4
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Computing in Cardiology Conference (CinC) 2011
external identifiers
  • scopus:84859953728
ISSN
0276-6574
language
English
LU publication?
yes
id
06977c85-ba66-42c6-9c10-397e677d87ac (old id 4618808)
alternative location
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6164487
date added to LUP
2015-08-04 11:42:41
date last changed
2017-01-01 05:20:39
@inproceedings{06977c85-ba66-42c6-9c10-397e677d87ac,
  abstract     = {We study a model of the atrioventricular node function during atrial fibrillation (AF), for which the model parameters can be estimated from the ECG. The proposed model is defined by parameters which characterize the arrival rate of atrial impulses, the probability of an impulse choosing either one of the two atrioventricular nodal pathways, the refractory periods of these pathways, and the prolongation of the refractory periods. The parameters are estimated from the RR intervals using maximum likelihood estimation, except for the shorter refractory period which is estimated from the RR interval Poincare plot, and the mean arrival rate of atrial impulses by the AF frequency estimated from the ECG. The model was evaluated on 30-min ECG segments from 36 AF patients. The results showed that 88% of the segments can be accurately modeled when the estimated probability density function (PDF) and an empirical PDF were at least 80% in agreement.},
  author       = {Sandberg, Frida and Corino, Valentina and Mainardi, Luca and Sörnmo, Leif},
  booktitle    = {Computers in Cardiology},
  issn         = {0276-6574},
  language     = {eng},
  pages        = {1--4},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Model-based analysis of the ventricular response during atrial fibrillation},
  year         = {2011},
}