IoT Based Smart Insulin Delivery System and Diabetes Management System

This paper proposes an IoT-based system that employs a Non-Invasive low-cost innovative method to measure glucose level, additionally employing an intelligent Smart Diabetes Management System as a copilot for a diabetic patient in daily life. The system additionally incorporated a separate Insulin Delivery System, connected via IoT to measure and deliver accurate levels of insulin dosage based on the relevant glucose level information. The non-invasive method uses a pair of photodiodes to measure glucose levels, which is then fed into the IoT system, allowing further analytics to be done which is used to generate certain automated responses via the system. Simulation of the system is done using PROTEUS, following which a low-cost prototype is designed along with a separate mobile module for the Insulin Delivery System. The accuracy of the system in measuring glucose levels, generating responses accordingly, and calculating the amount of insulin to be administered is observed and compared with other golden standards of the industry.

I. Introduction

Diabetes is a growing global health issue, affecting over 422 million people worldwide and resulting in 1.5 million deaths annually [1]. Although regular glucose testing and lifestyle management are essential for a high standard of living, low-income populations cannot afford the current industry norms. Due to a lack of accessible monitoring techniques and inadequate diabetes education, complications are more common in least developed and low-income nations. Delivery of insulin on time and accurately presents additional difficulties because continuous pumps are too expensive. An affordable yet accurate system for both glucose monitoring and insulin delivery is needed [2].