A Non-Invasive IoT-Based Glucose Level Monitoring System

Abstract

Background: Diabetes is one of the most common diseases which are major public health problem worldwide. It is also the leading high risk causes of death and disability in the world. To avoid further complications due to diabetes, regular monitoring of blood glucose levels is very important. All the current method used to measure blood glucose is the invasive way, which requires finger piercing, and this invasive method is more painful and more likely to cause infection. However, patients need to be directed towards the development of non-invasive techniques to relieve pain. Objective: In this project we use non-invasive techniques that use Near Infrared sensor for glucose level determination from fingertip without requiring needles and test strips. Methods: Near Infrared (NIR) optical signal is transmitted through one side of the fingertip and then received from its other side through which blood glucose’s molecular count is predicted by analyzing the variation in the received signal’s intensity after its reflection. And then the signal was filtered and amplified before going into the microcontroller to be displayed on an LCD display. The glucose readings were also sent to a phone via Wi-Fi and displayed through an Android application use of IoT. Results: The designed hardware calibrated with regression analysis by a pre calibrated conventional blood sugar machine and the derived equation is being set with respect to voltage vs Blood sugar measurement and set in the microcontroller. Finally the device is being tested with the 5 individual subjects with 10 reading each. Conclusion: The device is being designed to measure the Blood Glucose in noninvasive way and it is successfully doing the same beside that the incorporation of IoT in the device give us the freedom of measuring the Blood glucose from the distance and available through the internet.