Smart Technique of Insulin Dose Prediction for Type-1 Diabetic Patients

Abstract

A type-1 diabetic patient needs an exogenous insulin dose based on the blood glucose level to avoid hyper/hypoglycemia. In this paper, we propose a control system for maintaining the blood glucose level of type −1 diabetic patients within the normal range. The proposed protocol consists of a Wireless Body Area Network (WBAN) and a controller. The WBAN senses blood glucose and insulin concentration at regular intervals. The controller takes meal quantity as an input and estimates the maximum glucose level. The estimated glucose level is further used to predict the required insulin dose considering the patient-specific insulin sensitivity information. This insulin dose is then injected into the patient using an insulin pump. The proposed protocol is helpful for self-monitoring and automatic controlling of blood glucose level for type-1 diabetic patients.

KEYWORDS:

• Feed-forward neural networks
• In-vivo control system
• Type-1 diabetes mellitus
• Wireless body area networks

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

K. S. Kathe

Kavita Sudhakar Kathe received BTech degree in computer science & engineering from Shri Ramdeobaba College of Engineering and Management (RCOEM), Nagpur, India in 2009 and MTech degree in computer science & engineering from Visvesvaraya National Institute of Technology (VNIT), Nagpur, India in 2012. She is currently pursuing part time PhD at the Department of Computer Science & Engineering, at the same Institute. Her areas of interest are wireless body area networks artificial intelligence. She is working as software engineer with Centre for Railway Information Systems since Dec-2014. Corresponding author. Email: [email protected]

U. A. Deshpande

U A Deshpande received BTech degree in computer science & engineering from Visvesvaraya National Institute of Technology (VNIT), Nagpur, India in 1991 and MTech degree in computer science & engineering from IIT-Bombay, India in 1993, and PhD degree in computer science & engineering from IIT-Kharagpur, India in 2005. He was a research engineer at Center for Development of Telematics (C-DOT), New Delhi for about two years. Since the last 21 years, he is a faculty member in the Dept. of Computer Science and Engineering, VNIT, Nagpur, India. His areas of interest are distributed systems, networking, artificial intelligence, real-time systems, multi-agent systems and systemsbiology. Email: [email protected]