ECG-based Assessment and Therapeutic Implications of AV Nodal Conduction Dynamics During Atrial Fibrillation

Mattias Karlsson, Mikael Wallman, Pyotr G. Platonov, Sara R. Ulimoen, Frida Sandberg

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review


The conduction properties of the atrioventricular (AV) node have a significant impact on heart rate during permanent atrial fibrillation (AF), and can be modulated through the use of β-blockers or calcium channel blockers. These drugs have different physiological effects and are often selected empirically. Hence, an improved understanding of how these drugs affect the AV node conduction properties may contribute to personalized treatment of AF. We propose a novel methodology for estimating the refractory period and conduction delay dynamics of the fast and slow pathways of the AV node from 24-hour ambulatory ECG recordings. Our approach comprises a network model of the AV node, a problem-specific genetic algorithm, and an approximate Bayesian computation algorithm for estimating the posterior distribution of the AV node properties. We analyzed 24-hour ambulatory ECG recordings at baseline from 51 patients with permanent AF. Interestingly, a moderate correlation between the short-term variability in the refractory period for the fast pathway and reduction in heart rate during treatment with metoprolol (ρ = 0.48, p < 0.005) was found. Thus, the proposed methodology enables individualized characterization of the AV node and can potentially assist in treatment selection.

Titel på värdpublikationComputing in Cardiology, CinC 2023
FörlagIEEE Computer Society
ISBN (elektroniskt)9798350382525
StatusPublished - 2023
Evenemang50th Computing in Cardiology, CinC 2023 - Atlanta, USA
Varaktighet: 2023 okt. 12023 okt. 4


NamnComputing in Cardiology
ISSN (tryckt)2325-8861
ISSN (elektroniskt)2325-887X


Konferens50th Computing in Cardiology, CinC 2023

Bibliografisk information

Publisher Copyright:
© 2023 CinC.

Ämnesklassifikation (UKÄ)

  • Biomedicinsk laboratorievetenskap/teknologi


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