Patient-specific Glucose Metabolism Models for Model Predictive Control of T1DM Glycemia
Author
Summary, in English
The development of a predictive control algorithm for glycaemia regulation in diabetic subjects requires patient-specific models of the glucose metabolism which are physiologically relevant, parsimonious, yet able to accurately forecast blood glucose.
Given the measured data: total plasma insulin [mIU/L]; plasma glucose [mg/dL]; plasma glucose rate of appearance after intestinal absorption [mg/kg/min], the objective was to find individualized, simple and plausible glucose-insulin interaction models suitable for exploitation in a MPC framework.
Given the measured data: total plasma insulin [mIU/L]; plasma glucose [mg/dL]; plasma glucose rate of appearance after intestinal absorption [mg/kg/min], the objective was to find individualized, simple and plausible glucose-insulin interaction models suitable for exploitation in a MPC framework.
Department/s
Publishing year
2012
Language
English
Full text
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Document type
Conference paper
Topic
- Control Engineering
Conference name
5th International Conference on Advanced Technologies and Treatments for Diabetes, 2012
Conference date
2012-02-08 - 2012-02-11
Conference place
Barcelona, Spain
Status
Published
Project
- DIAdvisor
Research group
- LCCC