Fuzzy Control System for Regulating the Blood Glucose Level of Diabetes Patients Implemented on FPGA

The VHDL design and Field Programmable Gate Array (FPGA) implementation of a fuzzy control system to control the blood glucose level continuously based on current and previous values are presented. The design is based on simple models of the dynamic behavior of the glucose insulin system suitable for real-time control. The system is successfully implemented on FPGA promising efficient hardware implementation to be included in a low power, robust and reliable closed loop health monitoring system.

[1]  T. Yoneyama,et al.  A robust controller for insulin pumps based on H-infinity theory , 1993, IEEE Transactions on Biomedical Engineering.

[2]  J. Jaremko,et al.  Advances Toward the Implantable Artificial Pancreas for Treatment of Diabetes , 1998, Diabetes Care.

[3]  MS Ibbini,et al.  A semiclosed-loop optimal control system for blood glucose level in diabetics , 2004, Journal of medical engineering & technology.

[4]  M. Ibbini,et al.  A fuzzy logic based closed-loop control system for blood glucose level regulation in diabetics , 2005, Journal of medical engineering & technology.

[5]  Jorge Pomares,et al.  A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing , 2014, Sensors.

[6]  W. Zingg,et al.  An Artificial Endocrine Pancreas , 1974, Diabetes.

[7]  F. Chee,et al.  Expert PID control system for blood glucose control in critically ill patients , 2003, IEEE Transactions on Information Technology in Biomedicine.

[8]  W. Spencer,et al.  A Review of Programmed Insulin Delivery Systems , 1981, IEEE Transactions on Biomedical Engineering.

[9]  Z-H Lam,et al.  Active insulin infusion using optimal and derivative-weighted control. , 2002, Medical engineering & physics.

[10]  R. Miura,et al.  A Model of β -Cell Mass, Insulin, and Glucose Kinetics: Pathways to Diabetes , 2000 .

[11]  Yang Xiao,et al.  A Survey of Insulin-Dependent Diabetes—Part I: Therapies and Devices , 2008, International journal of telemedicine and applications.

[12]  Maria E Rojas,et al.  Impact of Secondary Prevention on Mortality after a First Ischemic Stroke in Puerto Rico. , 2017, Puerto Rico health sciences journal.

[13]  R. Bergman,et al.  Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. , 1981, The Journal of clinical investigation.

[14]  Y. Kuang,et al.  Modeling the glucose-insulin regulatory system and ultradian insulin secretory oscillations with two explicit time delays. , 2006, Journal of theoretical biology.

[15]  Ovide Arino,et al.  Mathematical modelling of the intravenous glucose tolerance test , 2000, Journal of mathematical biology.

[16]  M. Fisher,et al.  A semiclosed-loop algorithm for the control of blood glucose levels in diabetics , 1991, IEEE Transactions on Biomedical Engineering.