The main objective of this project is to develop and validate new biomarkers based on a pre-existing methodology for the non-invasive identification of the mechanisms that are responsible for the maintenance of AF. This will be achieved by using a body surface potential mapping recording and using the signal to develop a new algorithm that is able to, from the acquired signals acquired during sinus rhythm, extract relevant features for an accurate prediction of long-term ablation outcome for patients with AF.
Background and Hypothesis: Atrial Fibrillation (AF) treatment strategies have limitations. The efficacy of the procedure depends in several factors such as age, AF duration, atrial diameter and atrial electrophysiological behavior, determining what has been termed as atrial substrate. Therefore, the effectiveness of one specific treatment such as the ablation procedure, will be determined by the areas responsible for the maintenance of the fibrillation and its modification and/or elimination. The identification of these areas with a clear description of the arrhythmic substrate is one of the most important factors to determine new biomarkers that explain, at electrophysiological level, the properties of the substrate and therefore, increase the acute efficacy and long-term effectiveness of the treatment.