Abstract
The widespread use of Internet of Things (IoT) devices has revolutionized monitoring systems, driving advancements in various societal domains. This study presents a cutting-edge IoT-based architecture for real-time glucose monitoring in the context of Internet of Medical Things, emphasizing its ability to enable timely and accurate sample collection. The primary objective of this system is to continuously monitor glucose levels using the Freestyle Libre 3 sensor, making a significant impact on the health management of patients affected by diabetes and proactively preventing the disease’s onset. To ensure the system’s effectiveness, a comprehensive quantitative evaluation is conducted, focusing on both battery life and the seamless collection of real-time samples. This meticulous assessment guarantees the system’s reliability, efficiency, and ability to deliver vital health data promptly. Additionally, the contribution includes an evaluation of the system’s alignment with the Sustainable Development Goals (SDGs), demonstrating its potential contributions to broader social, economic, and environmental objectives. This research showcases the transformative potential of IoT technology in healthcare, offering unprecedented opportunities for continuous health monitoring and proactive intervention.
This result has been partially supported by PID2021-127275OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”.
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Ruiz, J.L.L., Guerrero, J.F.G., Cruz, C.M., Jimenez, D.D., Lama, J.G., Espinilla, M. (2023). IoT-Driven Real-Time Glucose Monitoring: Empowering Diabetes Care and Prevention. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-031-48642-5_12
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