Adjustment of Sensitive Parameters of a Mathematical Model of Glucose Metabolism Using an Evolutionary Algorithm∗. Issue 20 (2015)

• Record Type: Journal Article
• Authors: Quiroz, G.; Torres-Treviño, L.M.; Flores-Gutirrez, C.P.; Femat, R.
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 20(2015)
• Page Start: 19
• Page End: 23
• Publication Date: 2015
• Subjects: Patient-oriented modeling -- evolutive algorithm -- glucose metabolism models; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.10.108
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Currently, closed-loop therapy is a promising option for individuals with type 1 diabetes mellitus. It requires a glucose metabolism model and a control algorithm to reach a suitable automatic insulin delivery. Many mathematical models have been proposed considering the glucose-insulin dynamics and nominal parameters of a standard patient. Nevertheless, the open-loop therapy based on continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII) provides sufficient data to seek patient-oriented models instead of the nominal ones. In consequence, patient-oriented models could open the possibility of having personalized closed-loop therapies. In this work, a methodology for automatic adjustment of sensitive parameters of a physiological mathematical model of glucose metabolism is presented. The methodology is based on an evolutionary algorithm and it is exemplified with a physiological model. This methodology provides a criterion to select the best model which can reproduce the glucose-insulin dynamics of a diabetic patient according to the data provided by the CGM and CSII systems.