Paper
Synthetic-to-real diffusion-based PPG denoising for sleep monitoring applications
IEEE BSN 2026 (OpenReview 8aDpzj6C0N, 2026-07-30)
TL;DR
1D U-Net trained with a diffusion noise-prediction objective on simulated clean PPG + synthetic artifacts only, evaluated on the SPARE benchmark and on 791 h of aligned ring pulse-oximeter + PSG from 106 suspected-OSA patients. On real data: SQ rejection fraction 12.2% → 6.7%, pulse-rate RMSE 3.51 → 2.33 bpm; gains in all OSA severity groups (largest in severe), small favourable change in sleep staging.
- Form factor: finger ring (pulse oximeter)
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Cite this paper
Gu, W., Liu, A., & Wu, I.-C. (2026). Synthetic-to-real diffusion-based PPG denoising for sleep monitoring applications. IEEE BSN 2026. https://openreview.net/forum?id=8aDpzj6C0N
Gu, Wenbo, Arthur Liu, and I-Chen Wu. 2026. "Synthetic-to-real diffusion-based PPG denoising for sleep monitoring applications." IEEE BSN 2026. https://openreview.net/forum?id=8aDpzj6C0N.
Gu, W., Liu, A. and Wu, I.-C. (2026) 'Synthetic-to-real diffusion-based PPG denoising for sleep monitoring applications', IEEE BSN 2026. Available at: https://openreview.net/forum?id=8aDpzj6C0N
Gu, Wenbo, et al. "Synthetic-to-real diffusion-based PPG denoising for sleep monitoring applications." IEEE BSN 2026, 2026. https://openreview.net/forum?id=8aDpzj6C0N.
W. Gu, A. Liu, and I.-C. Wu, "Synthetic-to-real diffusion-based PPG denoising for sleep monitoring applications," IEEE BSN 2026, 2026, [Online]. Available: https://openreview.net/forum?id=8aDpzj6C0N.
@article{gu2026synthetictoreal,
title = {{Synthetic-to-real diffusion-based PPG denoising for sleep monitoring applications}},
author = {Gu, Wenbo and Liu, Arthur and Wu, I-Chen},
year = {2026},
journal = {IEEE BSN 2026},
url = {https://openreview.net/forum?id=8aDpzj6C0N}
}Added to the ChatPPG research hub
