Physiological Measurement

Physiological measurement research focuses on developing non-invasive methods for remotely monitoring vital signs and other physiological indicators, aiming to improve healthcare monitoring and understanding of human health. Current research emphasizes the use of machine learning, particularly graph neural networks and transformer architectures, to analyze data from wearable sensors, mobile devices, and video recordings, often incorporating personalized models to account for individual variations. These advancements hold significant promise for early disease detection, personalized medicine, and remote patient monitoring, enabling more efficient and effective healthcare delivery.