Edoar-do/HuBERT-ECG
A self-supervised foundation ECG model for broad and scalable cardiac applications
HuBERT-ECG helps cardiologists and healthcare providers analyze electrocardiogram (ECG) data more effectively. You input standard 12-lead ECGs, and the model can be fine-tuned to output diagnoses for 164 different cardiovascular conditions or predict future cardiac events like a two-year mortality risk. This tool is designed for medical professionals and researchers working with cardiac patient data.
Use this if you need to rapidly and accurately interpret ECGs for a wide range of cardiac conditions or predict long-term patient outcomes, even with limited labeled data for your specific task.
Not ideal if you are looking for a simple, out-of-the-box diagnostic tool without any need for further model customization or fine-tuning.
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Feb 15, 2026
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