Self-tuning insulin adjustment algorithm for type 1 diabetic patients based on multi-doses regime
Author(s) -
Daniel U. CamposDelgado,
Ricardo Femat,
M. Hernández-Ordoñez,
Antonio GordilloMoscoso
Publication year - 2005
Publication title -
applied bionics and biomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.397
H-Index - 23
eISSN - 1754-2103
pISSN - 1176-2322
DOI - 10.1533/abbi.2004.0031
Subject(s) - insulin , medicine , algorithm , closed loop , type 2 diabetes , endocrinology , computer science , control theory (sociology) , diabetes mellitus , artificial intelligence , engineering , control engineering , control (management)
A self-tuning algorithm is presented for on-line insulin dosage adjustment in type 1 diabetic patients (chronic stage). The algorithm suggested does not need information of the patient insulin–glucose dynamics (model-free). Three doses are programmed daily, where a combination of two types of insulin: rapid/short and intermediate/long acting is injected into the patient through a subcutaneous route. The doses adaptation is performed by reducing the error in the blood glucose level from euglycemics. In this way, a total of five doses are tuned per day: three rapid/short and two intermediate/long, where there is large penalty to avoid hypoglycemic scenarios. Closed-loop simulation results are illustrated using a detailed nonlinear model of the subcutaneous insulin–glucose dynamics in a type 1 diabetic patient with meal intake
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom