PhD students' seminars - Hassan SERHAL2:00 pm | Teams

The February 9, 2023

Subject : Modelling of electrocardiogram signals for the detection and prediction of cardiac pathologies.

Abstract

Atrial fibrillation is the most common and dangerous heart disease. As it is often asymptomatic, its early detection and prediction is a major challenge. In my thesis, three processes for the prediction and classification of atrial fibrillation are proposed. These processes are based on a pre-processing phase, an empirical modal decomposition, a wavelet transformation and an artificial intelligence model. The results obtained are promising and are compared with the literature.