AI RESEARCH
A Review of Deep Learning Methods for Photoplethysmography Data
arXiv CS.AI
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ArXi:2401.12783v2 Announce Type: replace Background: Photoplethysmography (PPG) is a non-invasive optical sensing technique widely used to capture hemodynamic information and is extensively deployed in both clinical monitoring systems and wearable devices. In recent years, the integration of deep learning has substantially advanced PPG signal analysis and broadened its applications across both healthcare and non-healthcare domains.