Design and implementation of an IoT-Based diabetes remote monitoring system

Abstract

Real time diabetes remote monitoring aimed at detecting blood glucose level, Heartrate, Blood pressure and Body temperature with Internet of Things (IoT) Technology. Typically, it is a selfdiabetes management system intended to perceive the concentration of specific molecules namely hyperglycemia and with other diabetes’ parameters. We discussed and analyzed data collected by biological sensors. Microcontroller (Arduino Uno) has been used for data filtering and transfer sensed data to the cloud through IoT communication protocols. An IoT-based webapplication has been developed and linked Node-Red dashboard in order to manage and connect patients with their physicians. Based on measurements collected by the sensors, the physicians may provide the assistance at real time to the patients from user-friendly interfaces dashboard. The previous researchers, introduced the usage of Telephone for Mobile-Health (mHealth), this IoT system integrated of mobile phones and computers with sensor based. The system was designed and tested in such a way that Doctors can access patients’ data in a mobile and webbased application. Diabetes remote monitoring system is a tool for careful management of diabetes disease which may build up from the elevated blood sugar. The assistances were provided by doctors, and the patients access their feedbacks via patient’s panel of the application, and to their e-mail’s accounts and also by telephone call. The existing literature showed that the over-increasing blood glucose leads to many complicated risks such as Stroke, Heart diseases such as cardiovascular diseases. This research contributes to the health sector by filling the gap between clinicians and patients, which was caused by the lack of real-time healthcare, and it may lead to the loss of lives. This Diabetes Remote Monitoring System (DRMS) intelligently operates by identifying and understanding in advance connected devices in heath industries for diabetic’s patients. The thesis focused on benefits of diabetics through IoT devices to manage the above parameters. By the results, we encountered real-time data transfer from patient to the clinicians. Diabetics in critical status at fasting:80-139mg/dl; >85 bpm, 120-180 mmHg (Systolic), 80-120 mmHg (Diastolic) 36oC-37.9oC or ≥ 37.9oC, Blood glucose, Heartrate, Blood Pressure and body temperature measurements respectively. The calculation of Correct Dose Insulin has been evaluated based on real time measurements