AI4HealthUOL/SSSD-ECG
Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'
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.
Stars
73
Forks
13
Language
Python
License
MIT
Category
Last pushed
Mar 31, 2025
Commits (30d)
0
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