The development of blood glucose control system for perioperative period or severely diabetic patients based on a new control theory
| Project/Area Number |
13671228
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
General surgery
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| Research Institution | Kyoto University |
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Principal Investigator |
ONODERA Hisashi Kyoto University, Graduate School of Medicine, Associate Professor, 医学研究科, 助教授 (50240825)
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| Co-Investigator(Kenkyū-buntansha) |
IMAMURA Masayuki Kyoto University, Graduate School of Medicine, Professor, 医学研究科, 教授 (00108995)
YAMASAKI Seiji Kyoto University, Graduate School of Medicine, Instructor, 医学研究科, 助手 (50303839)
FURUTANI Eiko Kyoto University, Graduate School of Engineering, Associate Professor, 工学研究科, 助教授 (40219118)
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| Project Period (FY) |
2001 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2002: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2001: ¥2,600,000 (Direct Cost: ¥2,600,000)
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| Keywords | blood glucose control system / Model predictive controller / state predictive controller / gain scheduling method / artificial pancreas / Diabetes Mellitus |
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| Research Abstract |
We developed a novel blood glucose control system using a model predictive method, in order to achieve optimal control of the blood glucose level in severely diabetic or pancreatectomized patients. This system is designed to predict glucose level changes in advance, considering delayed response time and the administered doses of insulin. This method is also designed to calculate the most appropriate insulin infusion rate by considering differences in individual response to insulin.In the first experiment, we compared our system with a conventional proportional and differential controller (PD controller) in order to determine whether the new system could regulate the glucose level efficiently in pancreatectomized dogs. The model predictive control method resulted in a significant reduction of mean insulin infusion rate compared to the conventional PD controller, when the glucose level in both methods reached the planned target level (100mg/dl). The new system also tended to have a reduc
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ed mean glucose infusion rate for compensating the overshooting of the glucose level compared to the PD controller. We have then made a further experiment to control the blood glucose under continuous glucose infusion in pancreatomized dogs employing either the conventional PD controller or the model control method, considering the environment where the patients are kept under continuous intravenous glucose infusion after surgery. However, contrary to our expectation, it was also observed that the model predictive controller failed to control the blood glucose level stably under glucose infusion at a high rate, although it was effectively controlled when the pancreatectomized dogs were not under glucose infusion or were under glucose infusion at a low rate. With the aim of controlling blood glucose under continuous glucose infusion, we thus improved the system by integration of the proportional controller and the model predictive controller. Addition of the modified proportional controller to the model predictive controller can stabilize the blood glucose control even under continuous glucose infusion. This system is a potentially effective method for the management of severely diabetic patients and pancreatectomized patients during and after surgery Less
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Report
(3 results)
Research Products
(12 results)
