IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Edge Computing and IoT Technologies for Medical Applications: A Case Study on Healthcare Monitoring

Author(s): Kumar R. (Kristu Jayanti College, India), Ayshwarya B. (Kristu Jayanti College, India), Muruganantham A. (Kristu Jayanti College, India)and Velmurugan R. (Kristu Jayanti College, India)
Copyright: 2021
Pages: 18
EISBN13: 9781799885788

Purchase

View Edge Computing and IoT Technologies for Medical Applications: A Case Study on Healthcare Monitoring on the publisher's website for pricing and purchasing information.

View Sample PDF


Abstract

Dynamic observation of blood sugar levels is essential for patients diagnosed with diabetes mellitus in order to control the glycaemia. Inevitably, they must accomplish a capillary test three times per day and laboratory test once or twice per month. These regular methods make patients uncomfortable because patients have to prick their finger every time in order to measure the glucose concentration. Modern health monitoring systems rely on IoT. However, the number of advanced IoT-based continuous glucose monitoring systems is small and has several limitations. Here the authors study feasibility of invasive and continuous glucose monitoring system utilizing IoT-based approach. They designed an IoT-based system architecture from a sensor device to a back-end system for presenting real-time data in various forms to end-users. The results show that the system is able to achieve continuous glucose monitoring remotely in real time, and a high level of energy efficiency can be achieved by applying the nRF compound, power management, and energy harvesting unit altogether in the sensor units.

Related Content

Yazan Khalid Abed-Allah Migdadi. © 2020. 37 pages.
Iryna Yurchuk, Oleksiy Piskunov, Pylyp Prystavka. © 2019. 11 pages.
Norita Ahmad, Kevin Rose Dias. © 2019. 19 pages.
Roman Odarchenko. © 2019. 29 pages.
Kumar R., Ayshwarya B., Muruganantham A., Velmurugan R.. © 2021. 18 pages.
Body Bottom