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AI-Powered Wearable Sensors for Health Monitoring and Clinical Decision Making

A comprehensive review on AI-powered wearable biosensors, highlighting how machine learning and edge AI enable real-time health monitoring and personalized care. The paper discusses key innovations like digital twins and LLMs, along with challenges in privacy, scalability, and clinical integration..

Detection and Severity Assessment of Parkinson’s Disease by Analysis of Wearable Sensors Data Using Gramian Angular Fields and Deep Convolutional Neural Networks

Developed a method for diagnosis and severity assessment of PD using a model based on Gramian Angular Fields in combination with deep Convolutional Neural Networks (CNNs)