The AI-powered system, called iLive Connect, uses a wearable biosensor patch and wristband to track vital signs and detect ...

Abstract: Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

In this context, remote patient monitoring (RPM) systems offer a promising solution, enabling early detection and management of patient complexity. Objective: This study aims to provide a ...

Abstract: The demand for real-time, continuous health monitoring has increased with a growing interest in preventive health care and chronic disease management. Wearable health monitoring systems are ...