Continuous blood sugar monitoring equipment with abnormal blood sugar probability warning device

Abstract

The invention discloses continuous blood sugar monitoring equipment with an abnormal blood sugar probability warning device. The continuous blood sugar monitoring equipment is used for carrying out analysis aiming at a subcutaneous blood sugar measurement signal of a human body, carrying out predictive modeling according to continuous blood sugar monitoring signals, fitting distribution conditions of prediction errors of a prediction method and calculating warning probability of a sampling point of each blood sugar data according to the distribution conditions of the prediction errors. The fluctuation condition in blood sugar of a patient is changed along an external environment, the distribution conditions of the corresponding prediction errors are changed, and therefore, an analytical function of the distribution of the prediction errors needs to be updated online. According to an abnormal blood sugar warning probability method adopted in the equipment, the integral distribution condition of the prediction errors can be adjusted according to the latest prediction error, so that high-low blood sugar warning probability of current blood sugar sampling can be relatively accurately given out. According to the continuous blood sugar monitoring equipment, the high-low blood sugar warning probability of a blood sugar sampling value can be accurately calculated, and the high-low blood sugar warning accuracy can be increased.

Description

technical field [0001] The invention belongs to the research field of blood sugar prediction alarm and analysis, in particular to a continuous blood sugar monitoring device including an abnormal blood sugar probability alarm. Background technique [0002] In order to achieve good blood glucose control, blood glucose levels must be measured, currently using continuous glucose monitoring (CGM) devices. With the rapid development of continuous blood glucose monitoring equipment, higher-precision control becomes possible, and the real-time CGM system plays an important role in the early detection of high and low blood sugar. However, alarming based on the blood sugar value collected by the current CGM equipment, and then taking corresponding treatment measures will delay the control of blood sugar. On the one hand, insulin will take a certain time to act in the body, so it will delay the control of hyperglycemia; On the other hand, carbohydrates will take some time to take effe...

AI Technical Summary

Problems solved by technology

However, since the prediction methods all have certain prediction errors, there will be a certain deviation between the predicted value and the real blood sugar value. Directly using the predicted blood sugar value to alarm will cause false positives and false positives, which will seriously affect the blood sugar control strategy and affect the patient glycemic control

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