Document Detail


An iterative learning strategy for the auto-tuning of the feedforward and feedback controller in type-1 diabetes.
MedLine Citation:
PMID:  23282162     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This paper proposes a scheme for the control of the blood glucose in subjects with type-1 diabetes mellitus based on the subcutaneous (s.c.) glucose measurement and s.c. insulin administration. The tuning of the controller is based on an iterative learning strategy that exploits the repetitiveness of the daily feeding habit of a patient. The control consists of a mixed feedback and feedforward contribution whose parameters are tuned through an iterative learning process that is based on the day-by-day automated analysis of the glucose response to the infusion of exogenous insulin. The scheme does not require any a priori information on the patient insulin/glucose response, on the meal times and on the amount of ingested carbohydrates (CHOs). Thanks to the learning mechanism the scheme is able to improve its performance over time. A specific logic is also introduced for the detection and prevention of possible hypoglycaemia events. The effectiveness of the methodology has been validated using long-term simulation studies applied to a set of nine in silico patients considering realistic uncertainties on the meal times and on the quantities of ingested CHOs.
Authors:
M L Fravolini; P G Fabietti
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-3
Journal Detail:
Title:  Computer methods in biomechanics and biomedical engineering     Volume:  -     ISSN:  1476-8259     ISO Abbreviation:  Comput Methods Biomech Biomed Engin     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-3     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9802899     Medline TA:  Comput Methods Biomech Biomed Engin     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
a Department of Electronic and Information Engineering , University of Perugia , Via G. Duranti No. 93 , 06125 , Perugia , Italy.
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