Versatile Diffusion Model for Generating, Imputing, and Forecasting Electrocardiogram Signals

A versatile diffusion-based approach for generating, imputing, and forecasting electrocardiogram (ECG) signals, outperforming state-of-the-art generative models and enhancing the performance of ECG classification tasks.