An adaptive glucose and insulin concentration prediction system and method

Abstract

The invention relates to an adaptive glucose and insulin concentration prediction system and method. The system collects monitoring data of a person to be monitored through a data acquisition module; a physiological model set construction module constructs a blood glucose-insulin model according to the monitoring data collected from the person to be monitored; The state space conversion module converts the blood glucose-insulin model into a state space model; the discrete state space model construction module converts the state space model into a discrete state space model; the particle wave observer module predicts and updates the state variables in the discrete state space model The eating automatic detection module determines the carbohydrate intake according to the updated carbohydrate intake factor; the blood sugar prediction module determines the insulin concentration and glucose concentration in the plasma in a fixed time interval in the future according to the updated state variable. The present invention can predict the concentration of glucose and insulin in blood plasma, and can improve the prediction accuracy of the concentration of glucose in blood plasma.

Description

technical field [0001] The present invention relates to the field of blood sugar prediction for diabetics, in particular to an adaptive glucose and insulin concentration prediction system and method. Background technique [0002] Diabetes mellitus is a metabolic abnormal syndrome mainly manifested by high glucose concentration in the body on an empty stomach or after meals due to absolute or relative insufficient insulin secretion, which can easily lead to various acute and chronic complications throughout the body. Insulin is the only hypoglycemic hormone in the body. For patients with type 1 diabetes and severe type 2 diabetes who rely on exogenous insulin infusion as the main treatment method, the control of insulin injection volume directly determines the control level of glucose concentration in the body. Timely and appropriate insulin infusion to control blood sugar within a reasonable range without severe hyperglycemia or hypoglycemia events is the goal pursued by doc...

AI Technical Summary

Problems solved by technology

In addition, external disturbances such as carbohydrate intake and exercise will cause severe fluctuations in glucose concentration in the body. Manually inputting the intake time and amount of carbohydrates will improve the prediction accuracy of the model, but it will bring inconvenience to the patient's life, and it is easy to cause Personal negligence increases risk of abnormal blood sugar swings

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