Sara Vinco
Sara Vinco has 1 paper in the ChatPPG research atlas (2026) and 8 co-authors in the atlas.
Papers
- End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables2026 · arXiv preprint
This work builds compact neural networks for estimating blood pressure from PPG on low-power wearable chips. It combines hardware-aware neural architecture search, pruning and mixed-precision search into one automated pipeline. Starting from top models on four public datasets, it produced networks with up to 7.99% lower error and 7.5 times fewer parameters, or 83 times fewer parameters with almost no loss, and patient-specific fine-tuning improved accuracy by up to 64%.
- Published: ArXiv preprint, 2026
- Signals: PPG, Blood pressure
- Result: Starting from state-of-the-art baseline models on four public datasets, their optimized networks achieve up to 7.99% lower error with a 7.5x parameter reduction, or up to 83x fewer parameters with negligible accuracy loss.