• pre/post Ajmaline Test analysis
• Brugada syndrome
• CARTO3
• OpenEP
• multi-parametric maps
• area calculation
• ROI selection

Brugada syndrome (BrS) is a rare hereditary heart disease responsible for malignant arrhythmias and sudden cardiac death. The generality of the symptoms shown by the disease are therefore an obstacle in the assessment of the real risk status of the patient, and therefore could lead to a wrong therapeutic choice. For patients with ventricular events at high risk, it is preferred the implantation of an ICD (Implantable Cardioverter-Defibrillator), or alternatively drug therapy and epicardial ablation. The research has been undertaken to provide physicians with suitable tools to conduct a more complete electrophysiological study of the right ventricle, which is essential to deciding the therapeutic path suitable for the patient. In this work we extend the functionalities of the OpenEP (Open Electrophysiology Interface for Research) platform in order to process endocardial electrophysiological signals acquired with the CARTO3 system from BrS patients at Fondazione Toscana Gabriele Monasterio in Pisa, calculating the parameters of interest and creating the respective multi-parametric maps of the right ventricle (RV). In addition, we develop algorithms able to process these parametric maps according to the user requirements defined with the clinical part, providing them with valid support (for example calculating the area where a parameter verifies a condition, or being able to select a ROI on the RV surface). In this way a deep analysis of the electrophysiological condition of the right ventricle is guaranteed, which can be useful both for research purposes and to set a suitable patient-specific therapeutic path.