A Smart Glucose Monitoring System for Diabetic Patient

• Main Authors: Amine Rghioui, Jaime Lloret, Mohamed Harane, Abdelmajid Oumnad
• Format: Article
• Language: English
• Published: MDPI AG 2020-04-01
• Series: Electronics
• Subjects: healthcare; data classification; machine learning; diabetic patient monitoring
• Online Access: https://www.mdpi.com/2079-9292/9/4/678

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.