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A Statistical Atrioventricular Node Model Accounting for Pathway Switching During Atrial Fibrillation

Henriksson, Mikael LU ; Corino, Valentina D. A.; Sörnmo, Leif LU and Sandberg, Frida LU (2016) In IEEE Trans. Biomedical Engineering 63(9). p.1842-1849
Abstract
Objective: The atrioventricular (AV) node plays a central role in atrial fibrillation (AF) as it influences the conduction of impulses from the atria into the ventricles. In the present paper, the statistical dual pathway AV node model, previously introduced by us, is modified so that it accounts for atrial impulse pathway switching even if the preceding impulse did not cause a ventricular activation. Methods: The proposed change in model structure implies that the number of model parameters subjected to maximum likelihood estimation is reduced from five to four. The model is evaluated using the data acquired in the RATe control in Atrial Fibrillation (RATAF) study, involving 24- h ECG recordings from 60 patients with permanent AF.... (More)
Objective: The atrioventricular (AV) node plays a central role in atrial fibrillation (AF) as it influences the conduction of impulses from the atria into the ventricles. In the present paper, the statistical dual pathway AV node model, previously introduced by us, is modified so that it accounts for atrial impulse pathway switching even if the preceding impulse did not cause a ventricular activation. Methods: The proposed change in model structure implies that the number of model parameters subjected to maximum likelihood estimation is reduced from five to four. The model is evaluated using the data acquired in the RATe control in Atrial Fibrillation (RATAF) study, involving 24- h ECG recordings from 60 patients with permanent AF. Results: When fitting the models to the RATAF database, similar results were obtained for both the present and the previous model, with a median fit of 86%. The results show that the parameter estimates characterizing refractory period prolongation exhibit considerably lower variation when using the present model, a finding that may be ascribed to fewer model parameters. Conclusion: The new model maintains the capability to model RR intervals, while providing more reliable parameters estimates. Significance: The model parameters are expected to convey novel clinical information, and may be useful for predicting the effect of rate control drugs. (Less)
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author
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type
Contribution to journal
publication status
published
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in
IEEE Trans. Biomedical Engineering
volume
63
issue
9
pages
8 pages
external identifiers
  • Scopus:84984855517
  • WOS:000382677500007
DOI
10.1109/TBME.2015.2503562
language
English
LU publication?
yes
id
920d22f9-5b47-48c5-b436-d2f23bf241f7
date added to LUP
2016-07-01 10:17:21
date last changed
2017-01-01 08:29:40
@article{920d22f9-5b47-48c5-b436-d2f23bf241f7,
  abstract     = {Objective: The atrioventricular (AV) node plays a central role in atrial fibrillation (AF) as it influences the conduction of impulses from the atria into the ventricles. In the present paper, the statistical dual pathway AV node model, previously introduced by us, is modified so that it accounts for atrial impulse pathway switching even if the preceding impulse did not cause a ventricular activation. Methods: The proposed change in model structure implies that the number of model parameters subjected to maximum likelihood estimation is reduced from five to four. The model is evaluated using the data acquired in the RATe control in Atrial Fibrillation (RATAF) study, involving 24- h ECG recordings from 60 patients with permanent AF. Results: When fitting the models to the RATAF database, similar results were obtained for both the present and the previous model, with a median fit of 86%. The results show that the parameter estimates characterizing refractory period prolongation exhibit considerably lower variation when using the present model, a finding that may be ascribed to fewer model parameters. Conclusion: The new model maintains the capability to model RR intervals, while providing more reliable parameters estimates. Significance: The model parameters are expected to convey novel clinical information, and may be useful for predicting the effect of rate control drugs.},
  author       = {Henriksson, Mikael and Corino, Valentina D. A. and Sörnmo, Leif and Sandberg, Frida},
  language     = {eng},
  number       = {9},
  pages        = {1842--1849},
  series       = {IEEE Trans. Biomedical Engineering},
  title        = {A Statistical Atrioventricular Node Model Accounting for Pathway Switching During Atrial Fibrillation},
  url          = {http://dx.doi.org/10.1109/TBME.2015.2503562},
  volume       = {63},
  year         = {2016},
}