A New Hybrid Approach on Blood Glucose Level Control Based on Palumbo Delayed Model

作者: Vahideh Heydari , Ali Karsaz , Reza Heydari

DOI: 10.1109/CSE-EUC-DCABES.2016.209

关键词:

摘要: Diabetes is one of the important issues in medical field which blood glucose level control and regulation needs to permanent care. Determination appropriate rate insulin injection order stabilization a normal vital for diabetics. In this paper, optimal plasma tracking using subcutaneous administration investigated. Here recent mathematical models used glucose-insulin system consists delayed nonlinear differential equations most comprehensive field, known as Palumbo. paper first time, employing combination fuzzy logic controller optimized by genetic algorithm with Palumbo method regulate diabetic patients. One features proposed ability set parameters patients algorithm. Finally, simulation results fuzzy-genetic are compared based on feedback linearization, indicates proper functioning desired at lowest possible error.

参考文章(12)
Andrea De Gaetano, Claudio Gaz, Claudio Gori Giorgi, Pasquale Palumbo, An islet population model of pancreatic insulin production conference on decision and control. ,vol. 2013, pp. 3355- 3360 ,(2013) , 10.1109/CDC.2013.6760396
Pasquale Palumbo, Pierdomenico Pepe, Simona Panunzi, Andrea De Gaetano, Time-Delay Model-Based Control of the Glucose–Insulin System, by Means of a State Observer European Journal of Control. ,vol. 18, pp. 591- 606 ,(2012) , 10.3166/EJC.18.591-606
Ali Hariri, Le Yi Wang, Identification and low-complexity regime-switching insulin control of type I diabetic patients Journal of Biomedical Science and Engineering. ,vol. 04, pp. 297- 314 ,(2011) , 10.4236/JBISE.2011.44040
Chiara Dalla Man, Robert A. Rizza, Claudio Cobelli, Meal Simulation Model of the Glucose-Insulin System IEEE Transactions on Biomedical Engineering. ,vol. 54, pp. 1740- 1749 ,(2007) , 10.1109/TBME.2007.893506
Mohamed Al-Fandi, Mohammad A. Jaradat, Yousef Sardahi, Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients international symposium on mechatronics and its applications. pp. 1- 7 ,(2012) , 10.1109/ISMA.2012.6215171
R N Bergman, Y Z Ider, C R Bowden, C Cobelli, Quantitative estimation of insulin sensitivity. American Journal of Physiology-endocrinology and Metabolism. ,vol. 236, ,(1979) , 10.1152/AJPENDO.1979.236.6.E667
Ilias Pagkalos, Pau Herrero, Christofer Toumazou, Pantelis Georgiou, Bio-Inspired Glucose Control in Diabetes Based on an Analogue Implementation of a $\beta $ -Cell Model IEEE Transactions on Biomedical Circuits and Systems. ,vol. 8, pp. 186- 195 ,(2014) , 10.1109/TBCAS.2014.2301377
P Latafat, Pasquale Palumbo, Pierdomenico Pepe, L Kovác, Simona Panunzi, Andrea De Gaetano, An LMI-based controller for the glucose-insulin system european control conference. pp. 7- 12 ,(2015) , 10.1109/ECC.2015.7330517
Jiaxu Li, Yang Kuang, Clinton C. Mason, Modeling the glucose-insulin regulatory system and ultradian insulin secretory oscillations with two explicit time delays. Journal of Theoretical Biology. ,vol. 242, pp. 722- 735 ,(2006) , 10.1016/J.JTBI.2006.04.002
Patricio Colmegna, Ricardo S. Sanchez Pena, Ravi Gondhalekar, Eyal Dassau, Francis J. Doyle, Reducing risks in type 1 diabetes using H∞ control. IEEE Transactions on Biomedical Engineering. ,vol. 61, pp. 2939- 2947 ,(2014) , 10.1109/TBME.2014.2336772