Modelling and robust estimation of AV node function during AF

Abstract: Objective: The purpose of the present thesis is to enrich the robustness of a statistical atrioventricular (AV) node model during atrial Fibrillation (AF). The model takes into account electrophysiological properties as the two pathways, their refractory periods and concealed conduction; these pathways are located between sinoatrial (SA) and AV node. It is highly desirable understanding of the AV node function, in order to achieve optimal arrhythmia management for those patients affected by AF, which is the most common arrhythmia. Methods: The simulation has been improved by introducing a new parameter that represents the probability of an impulse choosing either one of the two pathways. Exploration data has been conducted keeping fixed a set of parameters while varying one of them. Results: The model concerns a relationship between the probability of an atrial impulse passing through (output parameter, a) and choosing (input parameter, g) either one of two pathway. To test its accuracy and precision mean absolute error (MAE) and root mean square error (RMSE) have been calculated for different g, obtaining, MAE = 3:8_8:2023_10