Synthetic atrial electrogram generator

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.