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Generalized predictive control insulin infusion amount calculating method based on adaptive softening factor strategy

A generalized predictive control and calculation method technology, applied in the field of generalized predictive control insulin infusion calculation, can solve the problems of reference curve tracking speed decrease, robustness reduction, etc., to achieve easy construction, ensure accuracy, and high robustness Effect

Inactive Publication Date: 2019-06-25
GUANGDONG FOOD & DRUG VOCATIONAL COLLEGE +2
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Problems solved by technology

[0008] The softening factor of the generalized predictive control has an important influence and significance on the effect. When the softening factor is close to 1, the generalized predictive control model will maintain a high robustness, but the tracking speed of the system for the reference curve will be greatly reduced. decrease; when the value of the softening factor is close to 0, the generalized predictive control will maintain a high tracking speed for the reference curve, and respond quickly and sensitively to the patient’s blood sugar changes, but at this time the control system’s robustness Stickiness will be greatly reduced

Method used

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  • Generalized predictive control insulin infusion amount calculating method based on adaptive softening factor strategy
  • Generalized predictive control insulin infusion amount calculating method based on adaptive softening factor strategy
  • Generalized predictive control insulin infusion amount calculating method based on adaptive softening factor strategy

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Embodiment

[0060] Such as figure 1 As shown, a generalized predictive control insulin infusion volume calculation method based on the adaptive softening factor strategy includes the following steps:

[0061] S1: According to the current blood sugar level of diabetic patients, the predicted value of blood sugar changes in future diabetic patients is obtained through the CARIMA model;

[0062] Through the CARIMA model and the Diophantine equation, the following equation is obtained:

[0063] y(k+j)=G j (z -1 )Δu(k+j-1)+F j (z -1 )y(k)(j=1,2...n)

[0064] In the formula, y(k) represents the blood glucose level of the diabetic patient at time k; y(k+j) represents the predicted value of the blood glucose level of the diabetic patient j steps ahead at time k; Δu(k+j-1) represents the insulin pump The control input increment at time k; n represents the maximum prediction length; G j (z -1 ) represents the weight coefficient of the control input increment of the insulin pump at time k; F...

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Abstract

The invention discloses a generalized predictive control insulin infusion amount calculating method based on an adaptive softening factor strategy. The method includes utilizing real-time monitored human blood glucose data to predict future blood glucose change by using a CARIMA model, and then adopting the minimum variance to control and track the adaptive reference curve and calculate the infusion rate of an insulin pump in real time, so that the insulin pump can control the insulin infusion rate accurately to reduce the blood glucose fluctuation of the human body and control the blood glucose in a predetermined target interval. Compared with the existing generalized predictive control algorithm, the adaptive softening factor adopted can be adjusted flexibly according to different bloodglucose values to control the infusion rate of the insulin pump. The method has high robustness and significantly improves the insulin infusion accuracy and effectiveness.

Description

technical field [0001] The present invention relates to the field of estimating insulin pump infusion volume, and more specifically, relates to a generalized predictive control insulin infusion volume calculation method based on an adaptive softening factor strategy. Background technique [0002] Diabetes affects approximately 422 million adults worldwide and kills 1.5 million people each year. Type 1 diabetes, also known as insulin-dependent diabetes, is characterized by apoptosis of insulin-secreting cells in the pancreas and insufficient insulin secretion. Although the exact cause of type 1 diabetes is not clear, daily insulin infusion can effectively control the blood sugar level of diabetic patients, thereby improving the quality of life of patients. The artificial pancreas can effectively detect the blood sugar level of diabetic patients, and accurately calculate the infusion time and amount of insulin. The artificial pancreas mainly includes three parts: continuous ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61M5/142A61M5/168G05B13/04
Inventor 金浩宇刘文平余丽玲陈婷
Owner GUANGDONG FOOD & DRUG VOCATIONAL COLLEGE
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