Preliminary results from clinical validation study of a method for non-invasive assessment of atrioventricular node refractoriness during atrial fibrillation

Sandberg, Frida; Corino, Valentina D.A.; Sörnmo, Leif; Platonov, Pyotr, et al. (2017). Preliminary results from clinical validation study of a method for non-invasive assessment of atrioventricular node refractoriness during atrial fibrillation 2017 Computing in Cardiology (CinC), 44,, 1 - 4. 44th Computing in Cardiology, CinC 2017. Rennes, France: IEEE - Institute of Electrical and Electronics Engineers Inc.
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DOI:
Conference Proceeding/Paper | Published | English
Authors:
Sandberg, Frida ; Corino, Valentina D.A. ; Sörnmo, Leif ; Platonov, Pyotr , et al.
Department:
Department of Biomedical Engineering
Electrocardiology Research Group - CIEL
Project:
Multilevel Modeling of the Atrioventricular Node for Personalized Treatment of Atrial Fibrillation
Research Group:
Electrocardiology Research Group - CIEL
Abstract:

The purpose of this study is to evaluate our previously proposed model-based, non-invasive approach to assess atrioventricular (AV) node refractory periods during atrial fibrillation (AF) by comparing its estimates to the invasively assessed AV node refractory periods. Patients referred to the hospital for pulmonary vein isolation (PVI), being in AF upon arrival, are included in the study. Using our approach, we estimate the AV node refractory periods from the ECG before and during the PVI procedure. The refractory periods is estimated using both single and dual pathway models; Bayes Information Criterion is employed to select the most appropriate model. Following conversion to sinus rhythm, a S1S2 atrial pacing protocol is applied to invasively assess AV node refractory periods. Preliminary results suggest that the method for non-invasive assessment of AV node refractoriness is accurate, however, more data is needed to better establish performance.

ISSN:
2325-8861
LUP-ID:
de231cde-903c-49c4-952e-85c6b517793c | Link: https://lup.lub.lu.se/record/de231cde-903c-49c4-952e-85c6b517793c | Statistics

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