Atrial electrogram (AEGs) recorded invasively inside the atrium can be analyzed to assess the organization of the atrial electrical activity. These organization measures are commonly based either on the repeatability/regularity of the atrial activations or on the correlation/synchronicity among electrograms recorded in different sites. For many applications, it could be useful to have a synthetic AEG generator to test new methods on. So far, models capable to reproduce realistic AEGs do not exist yet. Aim of this study is to propose a unified approach to generate synthetic AEGs during sinus rhythm (SR) and atrial tachyarrhythmias, namely atrial fibrillation (AF) and atrial flutter (AFL). In particular, three different Wells organizations classes and different atrio-ventricular conductions will be considered during AF and AFL, respectively. A database of simulated signals during AF was created, containing AEGs with different degrees of Wells’ organization and different dominant frequencies. These AEGs were tested using spectral analysis assessing spectral concentration (SC), and wave-morphology similarity (WMS). Both indexes were in agreement with those presented in the relevant literature.
Synthetic atrial electrogram generator / M.W. Rivolta, L.T. Mainardi, R. Sassi, V.D.A. Corino - In: XIII Mediterranean Conference on medical and biological engineering and computing 2013 : MEDICON 2013 : 25-28 september 2013, Seville, Spain / [a cura di] L.M. Roa Romero. - Berlin : Springer, 2013. - ISBN 9783319008455. - pp. 670-673 (( Intervento presentato al 13. convegno Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) tenutosi a Seville, Spain nel 2013 [10.1007/978-3-319-00846-2_166].
Synthetic atrial electrogram generator
M.W. Rivolta;R. SassiPenultimo
;
2013
Abstract
Atrial electrogram (AEGs) recorded invasively inside the atrium can be analyzed to assess the organization of the atrial electrical activity. These organization measures are commonly based either on the repeatability/regularity of the atrial activations or on the correlation/synchronicity among electrograms recorded in different sites. For many applications, it could be useful to have a synthetic AEG generator to test new methods on. So far, models capable to reproduce realistic AEGs do not exist yet. Aim of this study is to propose a unified approach to generate synthetic AEGs during sinus rhythm (SR) and atrial tachyarrhythmias, namely atrial fibrillation (AF) and atrial flutter (AFL). In particular, three different Wells organizations classes and different atrio-ventricular conductions will be considered during AF and AFL, respectively. A database of simulated signals during AF was created, containing AEGs with different degrees of Wells’ organization and different dominant frequencies. These AEGs were tested using spectral analysis assessing spectral concentration (SC), and wave-morphology similarity (WMS). Both indexes were in agreement with those presented in the relevant literature.Pubblicazioni consigliate
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