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An Atrioventricular Node Model for Analysis of the Ventricular Response During Atrial Fibrillation

Corino, Valentina D. A.; Sandberg, Frida LU ; Mainardi, Luca T. and Sörnmo, Leif LU (2011) In IEEE Transactions on Biomedical Engineering 58(12). p.3386-3395
Abstract
This paper introduces a model of the atrioventricular node function during atrial fibrillation (AF), and describes the related ECG-based estimation method. The proposed model is defined by parameters that 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. These 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. Simulations indicated that 200-300 RR intervals are... (More)
This paper introduces a model of the atrioventricular node function during atrial fibrillation (AF), and describes the related ECG-based estimation method. The proposed model is defined by parameters that 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. These 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. Simulations indicated that 200-300 RR intervals are generally needed for the estimates to be accurate. 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. The model parameters were estimated during head-up tilt test to assess differences caused by sympathetic stimulation. Both refractory periods decreased as a result of stimulation, and the likelihood of an impulse choosing the pathway with the shorter refractory period increased. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Atrial fibrillation (AF), atrioventricular node, maximum likelihood, (ML) estimation, statistical modeling
in
IEEE Transactions on Biomedical Engineering
volume
58
issue
12
pages
3386 - 3395
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000297340700010
  • scopus:82155167709
ISSN
0018-9294
DOI
10.1109/TBME.2011.2166262
language
English
LU publication?
yes
id
b49cd9c7-280f-4c24-8f5f-2e5452309033 (old id 2272091)
date added to LUP
2011-12-29 13:37:45
date last changed
2017-06-11 03:57:47
@article{b49cd9c7-280f-4c24-8f5f-2e5452309033,
  abstract     = {This paper introduces a model of the atrioventricular node function during atrial fibrillation (AF), and describes the related ECG-based estimation method. The proposed model is defined by parameters that 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. These 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. Simulations indicated that 200-300 RR intervals are generally needed for the estimates to be accurate. 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. The model parameters were estimated during head-up tilt test to assess differences caused by sympathetic stimulation. Both refractory periods decreased as a result of stimulation, and the likelihood of an impulse choosing the pathway with the shorter refractory period increased.},
  author       = {Corino, Valentina D. A. and Sandberg, Frida and Mainardi, Luca T. and Sörnmo, Leif},
  issn         = {0018-9294},
  keyword      = {Atrial fibrillation (AF),atrioventricular node,maximum likelihood,(ML) estimation,statistical modeling},
  language     = {eng},
  number       = {12},
  pages        = {3386--3395},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Biomedical Engineering},
  title        = {An Atrioventricular Node Model for Analysis of the Ventricular Response During Atrial Fibrillation},
  url          = {http://dx.doi.org/10.1109/TBME.2011.2166262},
  volume       = {58},
  year         = {2011},
}