@inproceedings{
bedin2023ecg,
title={{ECG} Inpainting with denoising diffusion prior},
author={Lisa Bedin and Gabriel Cardoso and Remi Dubois and Eric Moulines},
booktitle={Deep Generative Models for Health Workshop NeurIPS 2023},
year={2023},
url={https://openreview.net/forum?id=Ntu8oGEV3S}
}
In this work, we train a generative denoising diffusion model (DDGM) in healthy electrocardiogram (ECG) data capable of generating realistic healthy heartbeats. We then show how recent advances in solving linear inverse Bayesian problems with DDGM can be used to derive interpretable outlier detection tools for electrophysiological anomalies.
ECG Inpainting with denoising diffusion prior
Lisa Bedin Gabriel Cardoso Remi Dubois Eric Moulines