A Dual-Output Physiology-Informed Neural Network Architecture for Continuous Cuffless Blood Pressure Waveform

Zaineb Aloui1,2, Cederick Landry1,2

  • 1Department of Mechanical Engineering, Université de Sherbrooke, Sherbrooke, QC Canada.

Artery Research
|August 3, 2026
PubMed
Summary

This study presents a new AI model that accurately estimates blood pressure (BP) waveforms using ECG and PPG signals. The physiology-informed approach improves continuous BP monitoring accuracy with less data.

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