6 papers · 1 filter
Unit-Independent Low-Rate Wrist GSR Processing for Stress Detection Using Phasic nSCR Features
Zequan Liang, Sally Hang, Geneva M. Jost +8
Galvanic skin response (GSR) is widely used for stress detection, but wrist-based GSR remains challenging because its absolute amplitude can differ substantially from laboratory-gr…
Low-Rate Wrist SpO2 Estimation under Micro-Perturbations Using Motion-Aware Beat Selection and Perfusion-Guided Calibration
Zequan Liang, Ning Miao, Wei Shao +5
Continuous oxygen saturation (SPO2) monitoring from photoplethysmography (PPG) is important for wearable health sensing, but wrist-based SPO2 estimation remains challenging due to…
SpO Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation
Zequan Liang, Elahe Hosseini, Ning Miao +5
Continuous oxygen saturation (SpO) estimation from wearable photoplethysmography (PPG) is important for long-term health monitoring, but low-quality red and infrared PPG segmen…
Generalizable Blood Pressure Estimation from Multi-Wavelength PPG Using Curriculum-Adversarial Learning
Zequan Liang, Ruoyu Zhang, Wei Shao +4
Accurate and generalizable blood pressure (BP) estimation is vital for the early detection and management of cardiovascular diseases. In this study, we enforce subject-level data s…
Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
Zequan Liang, Ruoyu Zhang, Wei Shao +4
Blood oxygen saturation (SpO2) is a vital marker for healthcare monitoring. Traditional SpO2 estimation methods often rely on complex clinical calibration, making them unsuitable f…
Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
Wei Shao, Ruoyu Zhang, Zequan Liang +3
Wearable photoplethysmography (PPG) is embedded in billions of devices, yet its optical waveform is easily corrupted by motion, perfusion loss, and ambient light, jeopardizing down…