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

Sandberg, Frida LU ; Corino, Valentina D.A. ; Sörnmo, Leif LU ; Platonov, Pyotr LU and Holmqvist, Fredrik LU (2017) 44th Computing in Cardiology, CinC 2017 In Computing in Cardiology 44. p.1-4
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... (More)

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.

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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2017 Computing in Cardiology (CinC)
series title
Computing in Cardiology
volume
44
pages
1 - 4
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
44th Computing in Cardiology, CinC 2017
conference location
Rennes, France
conference dates
2017-09-24 - 2017-09-27
external identifiers
  • scopus:85045082651
ISSN
2325-8861
DOI
10.22489/CinC.2017.286-087
project
Multilevel Modeling of the Atrioventricular Node for Personalized Treatment of Atrial Fibrillation
language
English
LU publication?
yes
id
de231cde-903c-49c4-952e-85c6b517793c
date added to LUP
2018-04-17 08:46:44
date last changed
2022-03-11 08:51:58
@inproceedings{de231cde-903c-49c4-952e-85c6b517793c,
  abstract     = {{<p>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.</p>}},
  author       = {{Sandberg, Frida and Corino, Valentina D.A. and Sörnmo, Leif and Platonov, Pyotr and Holmqvist, Fredrik}},
  booktitle    = {{2017 Computing in Cardiology (CinC)}},
  issn         = {{2325-8861}},
  language     = {{eng}},
  pages        = {{1--4}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Computing in Cardiology}},
  title        = {{Preliminary results from clinical validation study of a method for non-invasive assessment of atrioventricular node refractoriness during atrial fibrillation}},
  url          = {{http://dx.doi.org/10.22489/CinC.2017.286-087}},
  doi          = {{10.22489/CinC.2017.286-087}},
  volume       = {{44}},
  year         = {{2017}},
}