A Smart Glucose Monitoring System for Diabetic Patient

Amine Rghioui,Jaime Lloret,Abdelmajid Oumnad,Mohamed Harane

doi:10.3390/electronics9040678

Amine Rghioui, Jaime Lloret + Show 2 more

Open Access

https://doi.org/10.3390/electronics9040678

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Abstract

Diabetic patients need ongoing surveillance, but this involves high costs for the government and family. The combined use of information and communication technologies (ICTs), artificial intelligence and smart devices can reduce these costs, helping the diabetic patient. This paper presents an intelligent architecture for the surveillance of diabetic disease that will allow physicians to remotely monitor the health of their patients through sensors integrated into smartphones and smart portable devices. The proposed architecture includes an intelligent algorithm developed to intelligently detect whether a parameter has exceeded a threshold, which may or may not involve urgency. To verify the proper functioning of this system, we developed a small portable device capable of measuring the level of glucose in the blood for diabetics and body temperature. We designed a secure mechanism to establish a wireless connection with the smartphone.

Highlights

Technologies and application of the Internet of Things are advancing considerably in importantIoT technical areas, becoming more accessible, available and versatile every day, allowing faster growth of objects interconnected via the Internet [1]
We have developed an intelligent algorithm, which is able to send the glucose data measured by the sensor to the doctors to analyze, these data will be automatically stored in the database as positive or false positive after being validated by the doctor
We propose our glucose level monitoring application for diabetic patients, but we are not limited to monitoring; we apply the algorithms for classification of the data recovered by our application to classify and analyze them

Summary

Introduction

Technologies and application of the Internet of Things are advancing considerably in importantIoT technical areas, becoming more accessible, available and versatile every day, allowing faster growth of objects interconnected via the Internet [1]. Technologies and application of the Internet of Things are advancing considerably in important. The quality of life of patients is an important objective of intelligent healthcare and is a widespread concern with the construction of new applications in this field. Like cardiovascular and diabetic diseases, influence the health of living people [2,3]. Data analytics can be applied to identify people who need “proactive care” or who need a lifestyle change in order to avoid deterioration in health. Patients at an early stage of certain diseases (like heart failure, which is often caused by certain risk factors such as hypertension or diabetes) should be able to benefit from predictive and preventive care thanks to big data [4]. Patients are more comprehensive about giving away part of their privacy if this could save their lives or other people’s lives [5,6]

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