US 11,937,920 B2
Cloud big data-based intelligent real-time dynamic blood glucose monitoring system and method
Fei Yu, Hangzhou (CN); and Zhiyan Chen, Hangzhou (CN)
Assigned to MICROTECH MEDICAL (HANGZHOU) CO., LTD., Hangzhou (CN)
Appl. No. 16/969,112
Filed by MICROTECH MEDICAL (HANGZHOU) CO., LTD., Hangzhou (CN)
PCT Filed Oct. 8, 2018, PCT No. PCT/CN2018/109283
§ 371(c)(1), (2) Date Aug. 11, 2020,
PCT Pub. No. WO2019/072142, PCT Pub. Date Apr. 18, 2019.
Claims priority of application No. 201710947227.0 (CN), filed on Oct. 12, 2017.
Prior Publication US 2023/0240565 A1, Aug. 3, 2023
Int. Cl. A61B 5/145 (2006.01); A61B 5/00 (2006.01); A61B 5/1473 (2006.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); H04M 1/72412 (2021.01)
CPC A61B 5/14532 (2013.01) [A61B 5/0022 (2013.01); A61B 5/1473 (2013.01); A61B 5/6826 (2013.01); A61B 5/7246 (2013.01); A61B 5/7264 (2013.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); A61B 2560/0285 (2013.01); H04M 1/72412 (2021.01)] 7 Claims
OG exemplary drawing
 
1. An intelligent real-time dynamic blood glucose monitoring system based on cloud big data, comprising
an implantable dynamic glucose sensor,
a smart phone and a blood glucose monitoring application software installed on the smart phone,
a finger blood glucose meter and
a cloud big data server;
wherein the implantable dynamic glucose sensor comprises a replaceable sensor probe, a reusable signal collector configured to measure an electrochemical impedance spectrum- and transmit a signal, an output of the electrochemical impedance spectrum measurement comprises an impedance value and a phase or a real part and an imaginary part of an impedance; the signal transmitter of the implantable dynamic glucose sensor is connected with the smart phone through a wireless connection and transmits data with the blood glucose monitoring application software;
the smart phone and the blood glucose monitoring application software installed on the smart phone-is configured to transmit data with the implantable dynamic glucose sensor and the finger blood glucose meter through wireless communication technology, and upload data- and download data through a smart phone data network or a wireless network and the cloud big data server;
the finger blood glucose meter is configured to collect a blood sample from a user's fingertip for a blood glucose measurement, and transmit data with the smart phone through the wireless network;
the cloud big data server is configured to store, update, calculate and transmit personal information and historical data of the user, wherein the cloud big data server automatically corrects and calculates parameter output data of the implantable dynamic glucose sensor and sends the parameter output data to a terminal of the smart phone according to the historical data of the user in a cloud database, and wherein the cloud big data server calculates a conversion coefficient CF between original sensor data stored and the blood glucose value at a time point t as follows:

OG Complex Work Unit Math
wherein, the time point t is a zero point when the implantable dynamic glucose sensor is started; CF0 is an initial value of the conversion coefficient CFd is a change rate of the conversion coefficient CFcal is a correction compensation coefficient adjusted according to the blood glucose measurement value BG; CFcomp is a compensation conversion coefficient adjusted according to an electrochemical impedance data Z; α, β are weight coefficients of the CFcomp and the CFcal, with a value range of 0<α<10, 0<β<10;
according to real-time updated data and the historical data of the user, the cloud big data server calculates corresponding CF related parameters through a regression algorithm.