Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Intelligent wearable sensors, empowered by machine learning and innovative smart materials, enable rapid, accurate disease diagnosis, personalized therapy, continuous health monitoring without disrupting daily life. This integration facilitates a shift from traditional, hospital-centered healthcare to more decentralized, patient-centric model, where sensors can collect real-time physiological data, provide deep analysis of these data streams, generate actionable insights for point-of-care precise diagnostics therapy. Despite rapid advancements in learning, sensing technologies, there is lack comprehensive reviews that systematically examine the intersection fields. review addresses this gap, providing critical technologies advanced materials artificial Intelligence. The state-of-the-art materials-including self-healing, metamaterials, responsive materials-that enhance sensor functionality are first examined. Advanced methodologies integrated into devices discussed, their role biomedical applications highlighted. combined impact intelligent therapeutics also Finally, existing challenges, including technical compliance issues, information security concerns, regulatory considerations addressed, future directions advancing proposed.

Language: Английский

Real-time torque and joint angle estimation using electromyography signals and an LSTM deep learning model on edge computing platform

Iran Journal of Computer Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Language: Английский