Enhancing E-Health: Integrating Mixed Reality and IoT for Real-Time Health Monitoring

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's efficacy in providing accurate, timely feedback, significantly enhancing user outcomes.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/healthcom60970.2024.10880722
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

Enhancing E-Health: Integrating Mixed Reality and IoT for Real-Time Health Monitoring

Tao Han, Pedro H. Regalado
IoT and Edge/Fog Computing
article

Enhancing E-Health: Integrating Mixed Reality and IoT for Real-Time Health Monitoring

Tao Han, Pedro H. Regalado
article en

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's efficacy in providing accurate, timely feedback, significantly enhancing user outcomes.

New Jersey Institute of Technology (US)
Openalex Percentile: Top 68%
IoT and Edge/Fog Computing
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