# ECG-based beat-to-beat assessment of AV node conduction properties during AF

**Authors:** Mattias Karlsson, Felix Plappert, Pyotr G. Platonov, Sten Östenson, Mikael Wallman, Frida Sandberg

PMC · DOI: 10.3389/fphys.2025.1624403 · Frontiers in Physiology · 2025-08-01

## TL;DR

This paper introduces a method to assess AV node conduction during atrial fibrillation using ECG data, enabling beat-to-beat tracking of heart rate regulation.

## Contribution

A novel methodology combining a network model, particle filter, and smoothing algorithm to estimate AV node conduction properties beat-to-beat during AF.

## Key findings

- Estimated AV node conduction properties matched simulated ground truth with low mean absolute error.
- Beat-to-beat changes in conduction delay and refractory period were observed during a tilt test, consistent with sympathetic activation.
- The methodology shows feasibility for individualized assessment of AV node behavior during AF.

## Abstract

The refractory period and conduction delay of the atrioventricular (AV) node play a crucial role in regulating the heart rate during atrial fibrillation (AF). Beat-to-beat variations in these properties are known to be induced by the autonomic nervous system (ANS) but have previously not been assessable during AF. Assessing these could provide novel information for improved diagnosis, prognosis, and treatment on an individual basis.

To estimate AV nodal conduction properties with beat-to-beat resolution, we propose a methodology comprising a network model of the AV node, a particle filter, and a smoothing algorithm. The methodology was evaluated using simulated data and using synchronized electrogram (EGM) and ECG recordings from five patients in the intracardiac atrial fibrillation database. The methodology’s ability to quantify ANS-induced changes in AV node conduction properties was evaluated by analyzing ECG data from 21 patients in AF undergoing a tilt test protocol.

The estimated refractory period and conduction delay matched the simulated ground truth based on ECG recordings with a mean absolute error (
±
 std) of 169
±
14 ms for the refractory period in the fast pathway; 131
±
13 ms for the conduction delay in the fast pathway; 67
±
10 ms for the refractory period in the slow pathway; and 178
±
28 ms for the conduction delay in the slow pathway. These errors decreased when using simulated ground truth based on EGM recordings. Moreover, a decrease in conduction delay and refractory period in response to head-up tilt was seen during the tilt test protocol, as expected under sympathetic activation.

These results suggest that beat-to-beat estimation of AV nodal conduction properties during AF from ECG is feasible, with different levels of uncertainty, and that the estimated properties agree with expected AV nodal modulation.

## Linked entities

- **Diseases:** atrial fibrillation (MONDO:0004981)

## Full-text entities

- **Diseases:** AF (MESH:D001281)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12354475/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC12354475/full.md

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Source: https://tomesphere.com/paper/PMC12354475