Blood Volume Pulse

Blood volume pulse (BVP) extraction, often achieved through remote photoplethysmography (rPPG) using video cameras, aims to non-invasively measure physiological signals like heart rate and potentially pain levels from facial videos. Current research emphasizes improving the accuracy and robustness of BVP extraction by developing advanced deep learning models, such as those incorporating identity-specific facial contour information and multi-frequency signal fusion, while addressing challenges like noise from lighting and motion. This field is significant for its potential in remote health monitoring, enabling applications in telemedicine, early disease detection, and objective pain assessment.