Sistemas de monitoramento de pacientes com IoMT e aprendizado de máquina em cuidados de saúde

Abstract

Internet of Things (IoT) facilitates remote surveillance and monitoring through integrated networks and protocols, and is widely used in the healthcare sector. Medical facilities are integrating connected health technologies to collect patient information, optimizing diagnosis, care, and operational efficiency. This research presents a monitoring framework for medical service facilities, combining the Internet of Medical Things (IoMT) with machine learning approaches. The solution performs facial recognition, detects falls through motion patterns, and triggers alerts for caregivers. Testing yielded promising results, demonstrating good performance in both facial recognition and fall detection.