Comparitive study of bergman and augmented minimal model with conventional controller for type 1 diabetes

Surekha Kamath, Cifha Crecil Dias, K. Pawan Kumar, Meenal Budhiraja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diabetes - a global disease is spreading worldwide at an alarming rate. According to World Health Organization (WHO), the number of people suffering from diabetes has become four times in the last three decades. Therefore, monitoring and controlling diabetes has become of major concern lately. This paper focuses on the comparison of Diabetic minimal model (Bergman model) and Augmented minimal model for patients suffering from Type 1 diabetes. The focus will be on developing both the models on Simulink and comparing them to find the best results for regulation of insulin and glucose levels inside the body. Further, we also aim to develop a controller for both the models and tune the parameters for effective output. It is then observed that augmented minimal model shows better response.

Original languageEnglish
Title of host publicationAdvances in Computing and Data Science - Second International Conference, ICACDS 2018, Revised Selected Papers
EditorsTuncer Ören, P. K. Gupta, Jan Flusser, Vipin Tyagi, Mayank Singh
PublisherSpringer Verlag
Pages479-488
Number of pages10
ISBN (Print)9789811318122
DOIs
Publication statusPublished - 01-01-2018
Event2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018 - Dehradun, India
Duration: 20-04-201821-04-2018

Publication series

NameCommunications in Computer and Information Science
Volume906
ISSN (Print)1865-0929

Conference

Conference2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018
CountryIndia
CityDehradun
Period20-04-1821-04-18

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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