Edoardo Coppola
Department of Information Engineering–University of Brescia, Brescia, Italy
ORCID iDEdoardo Coppola has 1 paper in the ChatPPG research atlas (2024), linked to 1 model and 5 co-authors in the atlas. Main topics: ECG, HuBERT, self-supervised, masked-prediction, multi-country, open-weights.
Papers
- HuBERT-ECG: A Self-Supervised Foundation Model for Broad and Scalable Cardiac Applications2024 · medRxiv 2024
HuBERT-ECG is a self-supervised ECG foundation model pretrained on 9.1 million 12-lead ECGs covering 164 cardiovascular conditions. It can be fine-tuned for new tasks by adding one output layer and reached AUROCs from 84.3% in low-data settings to 99% in large-scale ones. It predicted death within two years with AUROC 93.4%, and the models and code are released.
- Published: medRxiv, 2024
- Pretraining data: 9.1 million 12-lead ECGs
- Signals: ECG