Diffusion-based Conditional ECG Generation with Structured State Space Models

This is the official repository for the paper Diffusion-based Conditional ECG Generation with Structured State Space Models accepted by Computers in Biology and Medicine. We propose diverse algorithms (primarly SSSD-ECG) for the generation of 12-lead ECG signals conditioned on disease labels.

Please cite our publication if you found our research to be helpful.

@article{ALCARAZ2023107115,
title = {Diffusion-based conditional ECG generation with structured state space models},
journal = {Computers in Biology and Medicine},
volume = {163},
pages = {107115},
year = {2023},
issn = {0010-4825},
doi = {https://doi.org/10.1016/j.compbiomed.2023.107115},
url = {https://www.sciencedirect.com/science/article/pii/S0010482523005802},
author = {Juan Miguel Lopez Alcaraz and Nils Strodthoff},
keywords = {Cardiology, Electrocardiography, Signal processing, Synthetic data, Diffusion models, Time series},
}