Active insulin infusion using fuzzy-based closed-loop control

Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008

Volumn , Issue , 2008, Pages 429-434

  Yasini, Sh ^a   Naghibi Sistani, M B ^a   Karimpour, A ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; CLOSED LOOP CONTROL SYSTEMS; CONTROLLERS; DISEASE CONTROL; FUZZY LOGIC; GLUCOSE; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); UNCERTAINTY ANALYSIS;

AVERAGE MODELS; BLOOD GLUCOSE; BLOOD GLUCOSE CONCENTRATIONS; BLOOD GLUCOSE LEVELS; CLOSED-LOOP CONTROLS; CONTROL TECHNIQUES; CONTROLLER PERFORMANCE; EXPERT KNOWLEDGE; FOOD INTAKES; FUZZY LOGIC CONTROLLERS; INSULIN INFUSIONS; MAMDANI; MEASUREMENT NOISE; MODEL PARAMETERS; PATIENT MODELS; SIMULATION RESULTS; TYPE I DIABETES;

KNOWLEDGE ENGINEERING;

EID: 60349086674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISKE.2008.4730968     Document Type: Conference Paper

References (14)

1. B. Topp, K. Promislow, and G. De Vries, "A model of β-cell mass, insulin, and glucose kinetics: Pathways to diabetes", J. Theor. Biol, Vol. 206, 2000, pp. 605-619,
2. "The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus", N. Eng. J. Med., Vol. 329, 1993, pp. 977-986, DCCT.
3. J. Li, Y. Kuang, C. C. Mason, "Modeling the glucoseinsulin regulatory system and ultradian insulin secretory oscillations with two explicit time delays", J. of Theoritical Bioligy, Vol. 242, 2006, pp. 722-735.
4. A. De Gaetano and O. Arino, "Mathematical modeling of the intravenous glucose tolerance test", J. Math. Biol. Vol. 40, 2000, pp 136-168.
5. R. N. Bergman, L. Philips, and C. Cobelli, "Phisiological evaluation of the factors controlling glucose tolerance in man", J. Clin. Invest., Vol. 68, 1981, pp. 1456-1467.
6. J. T. Sorenson, "A physiological model of glucose metabolism in mans its use to design and assess improved insulin therapies for diabetes", Ph.D. Dissertation, Chem Eng. Dep., Massachusets Inst. Technol., Cambridge, 1985.
7. Ch. Li and R. Hu, "Simulation study on blood glucose control in diabetics", Proc. IEEE Int. Conf. on Biomed. and Bioinf. Eng., 2007, pp. 1103-1106.
8. F. Chee, T. L. Fernando, A. V. Savkin, and V. Heeden, "Expert PID control system for blood glucose control on critically ill patients", IEEE Trans. Boimed. Tech. Vol. 7, No. 4, 2003.
9. Z. H. Lam, J. Y. Hwang, J. G. Lee, J. G. Chase, and G. C. Wake, "Active insulin infusion using optimal and derivative-weighted control", Medical Engineering & Physics. Vol. 24, 2002, pp, 663-672.
10. K. H. Kientiz and T. Yoneyame, "A robust controller for insulin pupms based on H-infinity theory" IEEE Transaction on Boimedical Engineering, Vol. 40, 1993, pp, 1133-1137.
11. M. S. Ibbini, M. A. Masadeh, and M. M. Bani Amer, "A semi closed loop optimal control system blood glucose level in diabetics", J. Medical Eng. & Tech. Vol. 28., 2004, pp. 189-196.
12. M. E. Fisher, "A semi closed-loop algorithm for control of blood glucose levels in diabetics", IEEE Trans. On Biomed. Eng. Vol. 38. No. 1, 1991.
13. M. S. Ibbini and M. A. Masadeh, "A fuzzy based closed-loop control system for blood glucose level regulation in diabetics", journal of Med. Eng. & Tech. Vol. 29, No. 2, 2005, pp. 64-69.
14. D. Dubois, H. Prade, Fuzzy systems and sets: Theory and applications, Mathematics in science and engineering, Vol. 144, 1980.