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IoT-Driven Healthcare Monitoring with Edge Device: Enhancing Sustainability, and Efficiency

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Publicado en:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025), p. 225-228
Autor principal: Agapito, Giuseppe
Publicado:
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Materias:
Body temperature
Data processing
Electronic implants
Internet of Things
Sustainability
Heart rate
Telemedicine
Health care
Edge computing
Data transmission
Monitoring
Disease detection
Energy consumption
Blood pressure
Distributed processing
Privacy
Oxygen content
Resource utilization
Real time
Carbon footprint
Economic
Acceso en línea:Citation/Abstract
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Resumen:Conference Title: 2025 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)Conference Start Date: 2025 June 11Conference End Date: 2025 June 13Conference Location: Venezia, ItalyInternet of Things (IoT) in healthcare has improved patient monitoring by facilitating real-time monitoring of vital signs like blood pressure, oxygen saturation, heart rate, and body temperature. IoT healthcare systems leverage wearable and implantable sensors to constantly collect physiological data, enhancing early disease detection, remote patient management, and personalized treatment. However, the high volume of sensitive health data generated raises concerns regarding privacy, security, and energy consumption in many distributed processing environments, i.e., cloud-computing. To address these challenges, edge computing has emerged as a promising solution, enabling green computing by removing reliance on centralized cloud infrastructures and minimizing data transmission costs by processing data streams closer to the source. Thus, edge computing significantly decreases energy consumption and carbon footprint while ensuring real-time, privacy-preserving decision-making. This study emphasizes the effectiveness of using an edge computing-based platform for implementing healthcare monitoring models. The experimental results show that edge computing significantly reduces energy consumption, optimizing resource utilization, and presents a viable solution for next-generation sustainability and ethical digital healthcare systems.
DOI:10.1109/MetroLivEnv64961.2025.11107071
Fuente:Science Database