@inproceedings{18186e5ed1a146de86ea4af789ffb91a,
title = "Enhancing E-Health: Integrating Mixed Reality and IoT for Real-Time Health Monitoring",
abstract = "Despite advancements in wearable and IoT technologies, real-time systems integrating these with mixed reality (MR) for health monitoring remain underexplored. This paper presents a novel framework designed to enhance proactive health management through an integrated IoT and MR infrastructure. The system employs a three-tiered architecture leveraging intelligent sensors and wearable technologies to provide immersive, contextualized interactions with health data. This integration enables prompt, informed decisions during critical health situations, addressing challenges in latency, data throughput, and user engagement. Targeted at healthcare applications, the framework ensures high reliability and responsiveness. Evaluations demonstrate the system{\textquoteright}s efficacy in providing accurate, timely feedback, significantly enhancing user outcomes.",
keywords = "E-Health, Health Wearables, Intelligent Sensors, Internet of Things, Latency Reduction, Mixed Reality, Network Architecture, Real-Time Health Monitoring",
author = "Regalado, {Pedro H.} and Tao Han",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024 ; Conference date: 18-11-2024 Through 20-11-2024",
year = "2024",
doi = "10.1109/HEALTHCOM60970.2024.10880722",
language = "English (US)",
series = "2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024",
address = "United States",
}