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...
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| Formato: | Tesis |
| Lenguaje: | English |
| Publicado: |
2023
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