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

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: Equipment failure, fire hazards, and higher energy usage in homes and industries can be caused by electrical overloads or current flow exceeding rated specifications. This paper presents an ...

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 ...