In recent years, the rapid development of wearable devices has revolutionized the field of bio signal measurement, making it more accessible, efficient, and user-friendly. However, wearable devices require direct contact with the patient, which can be uncomfortable for certain individuals. In this research, we present a vision-based system for estimating vital signs using remote photoplethysmography (rPPG). The rPPG technology enables the detection of blood volume changes in the facial skin through a camera that captures light reflected from the skin. By analyzing these changes, rPPG can extract vital signs such as heart rate, breathing rate, blood oxygen levels, blood pressure and even stress levels. Our system uses advanced signal processing and machine learning techniques to improve the reliability and accuracy of the rPPG signal.
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== Stabilization of Aging Neurons Through Activation of Hippocampal BDNF by Optical Method ==