Changes in RR Series Characteristics during Atrial Fibrillation : An AV Node Simulation Study
(2021) 2021 Computing in Cardiology, CinC 2021 In Computing in Cardiology- Abstract
The atrioventricular node (AVN) plays an important role in rate control during atrial fibrillation (AF). To further our understanding of the AVN function in AF, we present a model-based study, relating AVN electrophysiological characteristics to changes in RR series characteristics observed during treatment with rate control drugs. The dual-pathway physiology of the AVN was modelled using a network of nodes. The atrial impulse series was modelled with a Pearson Type IV distribution. Simulations were performed with randomly generated model parameters based on clinically observed ranges and the heart rate, variability and irregularity of the resulting RR series were quantified by their mean, rmssd and sample entropy, respectively.... (More)
The atrioventricular node (AVN) plays an important role in rate control during atrial fibrillation (AF). To further our understanding of the AVN function in AF, we present a model-based study, relating AVN electrophysiological characteristics to changes in RR series characteristics observed during treatment with rate control drugs. The dual-pathway physiology of the AVN was modelled using a network of nodes. The atrial impulse series was modelled with a Pearson Type IV distribution. Simulations were performed with randomly generated model parameters based on clinically observed ranges and the heart rate, variability and irregularity of the resulting RR series were quantified by their mean, rmssd and sample entropy, respectively. Analysis using linear regression showed that an increase in the RR mean was predominantly associated with an increase in the refractory period of the slow pathway, whereas changes in RR variability and RR irregularity were associated with changes in conduction delay. Notably, changes in the mean and standard deviation of the atrial impulse intervals were associated with changes in RR irregularity but not with changes in RR variability. Our results suggest that changes in RR series dynamics observed in response to rate control drugs reflect changes in the atrial electrical activity and AV conduction delay, however the results needs to be verified with clinical data.
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- author
- Plappert, Felix LU ; Wallman, Mikael ; Platonov, Pyotr LU and Sandberg, Frida LU
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2021 Computing in Cardiology, CinC 2021
- series title
- Computing in Cardiology
- publisher
- IEEE Computer Society
- conference name
- 2021 Computing in Cardiology, CinC 2021
- conference location
- Brno, Czech Republic
- conference dates
- 2021-09-13 - 2021-09-15
- external identifiers
-
- scopus:85124755995
- ISSN
- 2325-8861
- 2325-887X
- ISBN
- 9781665479165
- 9781665467216
- DOI
- 10.23919/CinC53138.2021.9662939
- project
- Ph.D. project: Diagnostic Biomarkers in Atrial Fibrillation - Autonomic Nervous System Induced Modulation as a Sign of Disease Progression
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2021 Creative Commons.
- id
- 4c36a2a3-4817-4e0c-9be4-e7df8d7fe8a6
- date added to LUP
- 2022-03-01 12:34:09
- date last changed
- 2024-06-13 10:54:44
@inproceedings{4c36a2a3-4817-4e0c-9be4-e7df8d7fe8a6,
abstract = {{<p>The atrioventricular node (AVN) plays an important role in rate control during atrial fibrillation (AF). To further our understanding of the AVN function in AF, we present a model-based study, relating AVN electrophysiological characteristics to changes in RR series characteristics observed during treatment with rate control drugs. The dual-pathway physiology of the AVN was modelled using a network of nodes. The atrial impulse series was modelled with a Pearson Type IV distribution. Simulations were performed with randomly generated model parameters based on clinically observed ranges and the heart rate, variability and irregularity of the resulting RR series were quantified by their mean, rmssd and sample entropy, respectively. Analysis using linear regression showed that an increase in the RR mean was predominantly associated with an increase in the refractory period of the slow pathway, whereas changes in RR variability and RR irregularity were associated with changes in conduction delay. Notably, changes in the mean and standard deviation of the atrial impulse intervals were associated with changes in RR irregularity but not with changes in RR variability. Our results suggest that changes in RR series dynamics observed in response to rate control drugs reflect changes in the atrial electrical activity and AV conduction delay, however the results needs to be verified with clinical data. </p>}},
author = {{Plappert, Felix and Wallman, Mikael and Platonov, Pyotr and Sandberg, Frida}},
booktitle = {{2021 Computing in Cardiology, CinC 2021}},
isbn = {{9781665479165}},
issn = {{2325-8861}},
language = {{eng}},
publisher = {{IEEE Computer Society}},
series = {{Computing in Cardiology}},
title = {{Changes in RR Series Characteristics during Atrial Fibrillation : An AV Node Simulation Study}},
url = {{http://dx.doi.org/10.23919/CinC53138.2021.9662939}},
doi = {{10.23919/CinC53138.2021.9662939}},
year = {{2021}},
}