An Atrioventricular Node Model for Analysis of the Ventricular Response During Atrial Fibrillation
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2272091
- author
- Corino, Valentina D. A. ; Sandberg, Frida LU ; Mainardi, Luca T. and Sörnmo, Leif LU
- organization
- publishing date
- 2011
- 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
- pmid:21878405
- ISSN
- 1558-2531
- DOI
- 10.1109/TBME.2011.2166262
- language
- English
- LU publication?
- yes
- id
- b49cd9c7-280f-4c24-8f5f-2e5452309033 (old id 2272091)
- date added to LUP
- 2016-04-01 12:52:54
- date last changed
- 2022-03-21 07:16:20
@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 = {{1558-2531}}, keywords = {{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}}, doi = {{10.1109/TBME.2011.2166262}}, volume = {{58}}, year = {{2011}}, }