[Beat-to-beat AV nodal assessment] ECG-based beat-to-beat assessment of AV node conduction properties during AF
Mattias Karlsson, Felix Plappert, Pyotr G Platonov, Sten \"Ostenson, Mikael Wallman, Frida Sandberg

TL;DR
This study introduces a novel ECG-based method to assess AV node conduction properties on a beat-to-beat basis during atrial fibrillation, providing insights into autonomic nervous system effects and potential clinical applications.
Contribution
The paper presents a new methodology combining a network model, particle filter, and smoothing algorithm to estimate AV nodal conduction properties during AF from ECG data.
Findings
Accurately estimated refractory periods and conduction delays with mean absolute errors around 130-170 ms.
Detected expected changes in AV node properties during tilt test indicating sympathetic activation.
Method demonstrated feasibility with both simulated and real patient data.
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…
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Taxonomy
TopicsMuscle activation and electromyography studies
