Generation of 12-lead patient-specific electrocardiogram and risk prediction of cardiovascular disease using deep learning

<p>This thesis presents a novel deep learning framework based on Variational Autoencoders (VAEs) for the generation and analysis of 12-lead electrocardiograms (ECGs), and its use for cardiovascular disease (CVD) risk prediction. It focuses on three major aspects:</p> <p>First, we...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Sang, Y
Muut tekijät: Grau Colomer, V
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: 2023
Aiheet: