AI RESEARCH
End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables
arXiv CS.LG
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ArXi:2604.10117v1 Announce Type: new Photoplethysmography (PPG)-based blood pressure (BP) estimation is a challenging task, particularly on resource-constrained wearable devices. However, fully on-board processing is desirable to ensure user data confidentiality. Recent deep neural networks (DNNs) have achieved high BP estimation accuracy by reconstructing BP waveforms or directly regressing BP values, but their large memory, computation, and energy requirements hinder deployment on wearables. This work