A Deep Learning-Based ECG Delineator: Evaluation and Comparison on Standard Databases

Several algorithms have been proposed for the automatic detection of the ECG characteristic waves, namely P wave, T wave and QRS complex, with particular focus on the localization of the R peaks. This Thesis aims to leverage the standard Convolutional Neural Network (CNN) to propose a new Deep Learning-based ECG delineator for the individuation of the P, R and T peaks.