bowang-lab / ecg-fm
An electrocardiogram analysis foundation model.
Why this job: says: foundation model; topics: transformer, foundation-models, machine-learning


What it does
ECG-FM is a foundation model for electrocardiogram (ECG) analysis. Committed to open-source practices, ECG-FM was developed in collaboration with the fairseq_signals framework, which implements a collection of deep learning methods for ECG analysis. This repository serves as a landing page and will host project-specific scripts as this work progresses.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 325
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 80% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 85% closed
- 3 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 80%
- Jupyter Notebook 20%
Topics
- electrocardiogram
- foundation-models
- healthcare
- machine-learning
- mimic-iv-ecg
- physionet2021
- transformer
Project record
- JobAI libraries and models
- StatusListed
- Commits20
- Forks40
- Watching10
- Stars in 28 days+6
- CreatedMay 27, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
