DeScoD-ECG is a novel deep score-based diffusion model for removing baseline wander and noise from ECGs.
This study is one of the first to extend the conditional diffusion-based generative model for ECG noise removal, and the DeScoD-ECG has the potential to be widely used in biomedical applications.
Li et al. (Tue,) studied this question.