Health Monitoring

Health monitoring research focuses on developing accurate, efficient, and privacy-preserving systems for continuous assessment of physiological and behavioral data. Current efforts utilize diverse sensor technologies (wearables, robots, smart devices) coupled with machine learning models, including convolutional neural networks, recurrent neural networks, and large language models, often employing federated learning or edge computing to address privacy and computational constraints. This field is crucial for early disease detection, personalized medicine, and improved healthcare outcomes, impacting both clinical practice and the development of assistive technologies. Explainable AI is also gaining traction to enhance transparency and trust in automated health assessments.