Preliminary results from clinical validation study of a method for non-invasive assessment of atrioventricular node refractoriness during atrial fibrillation
(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.
(Less)
- author
- Sandberg, Frida LU ; Corino, Valentina D.A. ; Sörnmo, Leif LU ; Platonov, Pyotr LU and Holmqvist, Fredrik LU
- organization
- publishing date
- 2017
- 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}}, }