most citedA General Framework for Generative Self-supervised Learning in Non-invasive Estimation of Physiological Parameters Using Photoplethysmography

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2026

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals

Zexing Zhang, Jichao Li, Yilong Wang +2

Non-invasive blood glucose estimation from wearable physiological signals remains difficult because longitudinal photoplethysmography (PPG) data are subject to distribution drift,…

eess.SP2026★ 8 cited

A General Framework for Generative Self-supervised Learning in Non-invasive Estimation of Physiological Parameters Using Photoplethysmography

Zexing Zhang, Huimin Lu, Songzhe Ma +4

Aligning physiological parameter labels with large-scale photoplethysmographic (PPG) data for deep learning is challenging and resource-intensive. While self-supervised representat…