Abstract

Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical research, with a prevalence of 0.4% to 1% of the population. Therefore, the study of AF is an important research field that can provide great treatment improvements. In this paper we apply independent component analysis to a 12-lead electrocardiogram, for which we obtain a 12-source set. We apply to this set three different atrial activity (AA) selection methods based on: kurtosis, correlation of the sources with lead V1, and spectral analysis. We then propose a reliable AA extraction based on the consensus between the three methods in order to reduce the effect of anatomical and physiological variabilities. The extracted AA signal will be used in a future stage for AF classification.