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Beat-to-beat In Silico Assessment of AV-nodal Conduction Dynamics during AF

Karlsson, Mattias LU ; Platonov, Pyotr G. LU ; Sandberg, Frida LU and Wallman, Mikael (2024) 51st International Computing in Cardiology, CinC 2024 In Computing in Cardiology 51.
Abstract

The refractory period (RP) and the conduction delay (CD) of the atrioventricular (AV) node play a crucial role in regulating the heart rate during atrial fibrillation (AF). Assessing short-term variations in these conduction properties could provide novel information for improved diagnosis and treatment optimization on an individual basis. We propose a methodology comprising a network model of the AV node, a particle filter, and a smoothing algorithm to quantify the conduction properties for each heartbeat. The methodology was evaluated using simulated data and applied to endocardial recordings from five patients in the Intracardiac Atrial Fibrillation Database (PhysioNet). Estimated RP and CD matched the simulated ground truth values... (More)

The refractory period (RP) and the conduction delay (CD) of the atrioventricular (AV) node play a crucial role in regulating the heart rate during atrial fibrillation (AF). Assessing short-term variations in these conduction properties could provide novel information for improved diagnosis and treatment optimization on an individual basis. We propose a methodology comprising a network model of the AV node, a particle filter, and a smoothing algorithm to quantify the conduction properties for each heartbeat. The methodology was evaluated using simulated data and applied to endocardial recordings from five patients in the Intracardiac Atrial Fibrillation Database (PhysioNet). Estimated RP and CD matched the simulated ground truth values with a mean absolute error (± std) for each heartbeat of 181±158 ms for the RP in the fast pathway (FP), 123±109 ms for the CD in FP, 51±53 ms for the RP in the slow pathway (SP), and 153±161 ms for the CD in SP. Furthermore, the resulting RP and CD trends from the endocardial recordings for one patient are shown in Fig 2. The beat-to-beat assessment of AV node conduction properties offers potential insights for personalized treatment strategies during AF, constitutes a novel research tool in itself, and provides an important step toward ECG-based assessment of short-term variations in AV node conduction.

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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Computing in Cardiology 2024
series title
Computing in Cardiology
volume
51
conference name
51st International Computing in Cardiology, CinC 2024
conference location
Karlsruhe, Germany
conference dates
2024-09-08 - 2024-09-11
external identifiers
  • scopus:105028381005
ISSN
2325-8861
DOI
10.22489/CinC.2024.083
project
Diagnostic Biomarkers in Atrial Fibrillation - Autonomic Nervous System Response as a Sign of Disease Progression
Ph.D. project: Non-invasive analysis of ANS activity in atrial fibrillation
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 IEEE Computer Society. All rights reserved.
id
759f8edd-cd38-4ff7-9641-319f4b7d5112
date added to LUP
2026-02-25 13:13:16
date last changed
2026-08-25 11:14:02
@inproceedings{759f8edd-cd38-4ff7-9641-319f4b7d5112,
  abstract     = {{<p>The refractory period (RP) and the conduction delay (CD) of the atrioventricular (AV) node play a crucial role in regulating the heart rate during atrial fibrillation (AF). Assessing short-term variations in these conduction properties could provide novel information for improved diagnosis and treatment optimization on an individual basis. We propose a methodology comprising a network model of the AV node, a particle filter, and a smoothing algorithm to quantify the conduction properties for each heartbeat. The methodology was evaluated using simulated data and applied to endocardial recordings from five patients in the Intracardiac Atrial Fibrillation Database (PhysioNet). Estimated RP and CD matched the simulated ground truth values with a mean absolute error (± std) for each heartbeat of 181±158 ms for the RP in the fast pathway (FP), 123±109 ms for the CD in FP, 51±53 ms for the RP in the slow pathway (SP), and 153±161 ms for the CD in SP. Furthermore, the resulting RP and CD trends from the endocardial recordings for one patient are shown in Fig 2. The beat-to-beat assessment of AV node conduction properties offers potential insights for personalized treatment strategies during AF, constitutes a novel research tool in itself, and provides an important step toward ECG-based assessment of short-term variations in AV node conduction.</p>}},
  author       = {{Karlsson, Mattias and Platonov, Pyotr G. and Sandberg, Frida and Wallman, Mikael}},
  booktitle    = {{Computing in Cardiology 2024}},
  issn         = {{2325-8861}},
  language     = {{eng}},
  series       = {{Computing in Cardiology}},
  title        = {{Beat-to-beat In Silico Assessment of AV-nodal Conduction Dynamics during AF}},
  url          = {{http://dx.doi.org/10.22489/CinC.2024.083}},
  doi          = {{10.22489/CinC.2024.083}},
  volume       = {{51}},
  year         = {{2024}},
}