AI4HealthUOL/SSSD-ECG

Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'

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This project helps medical researchers and developers working with heart health data to generate realistic, synthetic 12-lead electrocardiogram (ECG) signals. You provide specific disease labels, and it produces corresponding ECG waveforms. This is useful for those who need to expand datasets for algorithm training or research without relying solely on limited patient data.

No commits in the last 6 months.

Use this if you need to create synthetic 12-lead ECG data for various heart conditions to augment your datasets for machine learning model development or medical research.

Not ideal if you are looking for tools to directly analyze real patient ECG data for diagnosis or to visualize existing ECG records.

cardiology research ECG signal generation medical AI development synthetic medical data cardiac diagnostics research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

73

Forks

13

Language

Python

License

MIT

Last pushed

Mar 31, 2025

Commits (30d)

0

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