University of Oldenburg (Alcaraz & Strodthoff)
Diffusion-based generative model that synthesizes 12-lead ECGs conditioned on any of 71 PTB-XL diagnostic labels, combining a denoising diffusion process with a structured state-space (S4) sequence backbone. Outperformed GAN-based baselines (WaveGAN*, Pulse2Pulse) on both classifier-based fidelity metrics and a clinical Turing test. Developed at the University of Oldenburg.
Architecture
Other
Diffusion model (DDPM) with a Structured State Space (S4) sequence backbone, conditioned on disease-label embeddings
Framework
PyTorch
Added to catalog
2026-07-10
MIT
License for model weights only. Associated code may be licensed seperately, check code source for specific terms.
52% male / 48% female; age range 0-95 (median ~62). 21,837 10-second 12-lead ECG records.
Synthetic 12-lead ECG waveform generated conditionally on any of 71 PTB-XL diagnostic labels