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Applied Bionics and Biomechanics
Volume 2, Issue 2, Pages 61-71

Self-Tuning Insulin Adjustment Algorithm for Type 1 Diabetic Patients based on Multi-Doses Regime

D. U. Campos-Delgado,1 R. Femat,2 M. Hernández-Ordoñez,3 and A. Gordillo-Moscoso4

1Universidad Autónoma de of San Luis Potosí, Facultad de Ciencias, Av. Salvador Nava s/n, Zona Universitaria, C.P. 78290, S.L.P., Mexico
2Div. Mat. Aplicadas y Sistemas Computacionales, IPICYT, San Luis Potosí, S.L.P., Mexico
3Universidad Autónoma de of San Luis Potosí, CIEP, Facultad de Ingeniería, Mexico
4Universidad Autónoma de San Luis Potosí, Facultad de Medicina, San Luis Potosí, S.L.P., Mexico

Copyright © 2005 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.