An intelligent real-time dynamic blood glucose monitoring system and method based on cloud big data

Abstract

The invention discloses an intelligent real-time dynamic blood glucose monitoring system and method based on cloud big data, which includes an implantable dynamic glucose sensor, a smart phone and blood sugar monitoring application software installed in the smart phone, a finger blood glucose meter, and a cloud big data monitoring system. data server. The present invention proposes a real-time dynamic blood glucose monitoring system including a smart phone and a cloud big data server, which can effectively correct the deviation of the signal of the implanted dynamic glucose sensor due to individual user differences through the user's personal blood glucose measurement history data stored in the cloud. Influence, so that the sensor can ensure the validity and accuracy of the measurement signal during the working period. The present invention establishes a set of algorithms, by establishing the regression equation between the current signal, the result of electrochemical impedance measurement and the user's historical blood glucose data, and solving the overdetermined equation group to calculate the output result of the blood glucose value calculated by the dynamic blood glucose monitoring system. corrections to improve the accuracy of the output results.

Description

technical field The invention relates to the technical field of intelligent medical devices, in particular to an intelligent real-time dynamic blood sugar monitoring system and method based on cloud big data. Background technique Various types of biosensors exist on the market for various analytes, among which the most widely used and common biosensor is the amperometric glucose sensor, which is very important for the successful control of glucose levels in diabetes. The subcutaneous implantable glucose sensor monitors the glucose content in the subcutaneous interstitial fluid by implanting the sensor probe into the dermal tissue, thereby calculating the blood glucose value of the human body. It is currently the most advanced continuous human blood glucose monitoring system in the world. The signals obtained by such implantable amperometric glucose sensors are easily affected by individual differences, usage habits and physical conditions of users. These conditions include...

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Problems solved by technology

The purpose of the present invention is to provide an intelligent real-time dynamic blood sugar monitoring system and method based on cloud big data to solve the deficiencies of the prior art

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