Conference Paper


Developing a dynamic bio-inspired intelligent system to support diabetic patients

Abstract

This paper proposes a new biologically-inspired phenomenological model of insulin release that can be used to continuously monitor a person with diabetes and therefore recommend insulin dose and predict events. Given all the parameters and conditions that have to be met in order to achieve stability, the proposed insulin-release system will be considered as highly non-linear and dynamical. The resulting model will study the mechanisms that keep the system from reaching a chaotic state (diabetes), based on the property of self-organised criticality. This property was selected since it has been previously identified and studied in other dynamical biological systems. The proposed model will then be used as part of a model-based reasoning system that aims to support patients with diabetes.

Attached files

Authors

Munoz-Balbontin, Mireya
olde Scheper, Tjeerd V.
Aldea, Arantza

Oxford Brookes departments

Faculty of Technology, Design and Environment\Department of Computing and Communication Technologies

Dates

Year of publication: 2017
Date of RADAR deposit: 2017-10-20



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