Patent ID: 11937920
Assignee: MICROTECH MEDICAL (HANGZHOU) CO., LTD.
Field: Medical technology (Instruments)
Classification: CPC A  G  H | IPC A  G  H

Claim 3:
4. The intelligent real-time dynamic blood glucose monitoring system based on the cloud big data according to claim 1, wherein the cloud big data server calculates the CFcal as follows:
when the user uses the finger blood glucose meter to detect the blood glucose value BG, the BG, the current data of the dynamic glucose sensor Is and the CFcal conform to following relationship with a smallest possible error:

BG=Is×CFcal 

the cloud big data server is configured to: step A, obtain a new blood glucose value BG and measurement time Tb after each time the user uses the finger blood glucose meter for blood glucose detection, and select the dynamic glucose sensor data with a time interval |Tb−Ts| less than the threshold value at a same time:
1. BG: measured data of the finger blood glucose meter
2. SG: blood glucose calculation data of the implantable dynamic glucose sensor
3. Is: current data of the implantable dynamic glucose sensor
4. SNR: signal-to-noise ratio of a dynamic glucose sensor current signal
5. Ts: time stamp data of the implantable dynamic glucose sensor
select the data with |SG−BG| less than the threshold value as the valid sample to form the sample record package [BGn Isn SNRn Tsn] for calculation;
using data in a latest period for regression, and arrange the subscript number n of the historical data variable in reverse order of TS, that is, the closer to the current historical data, the smaller the subscript number, all the dynamic glucose sensor data come from a same sensor probe; wherein, the latest period comprises last 5 days, latest 7 days, last 10 days or same period as a service life of the replaceable sensor probe;
step B, use the regression algorithm to calculate updated value CFcal′ of CFcal:, CF
    ⁢
    cal
   
   ′
  
  =
  
   
    
     
      ∑
       
     
     
      n
      =
      1
     
     N
    
    [
    
     
      Is
      n
     
     ×
     
      BG
      n
     
     ×
     S
     ⁢
     N
     ⁢
     
      R
      n
     
     ×
     
      w
      ⁡
      (
      
       Ts
       n
       ′
      
      )
     
    
    ]
   
   
    
     
      ∑
       
     
     
      n
      =
      1
     
     N
    
    [
    
     
      Is
      n
      2
     
     ×
     S
     ⁢
     N
     ⁢
     
      R
      n
     
     ×
     
      w
      ⁡
      (
      
       Ts
       n
       ′
      
      )
     
    
    ]
   
  
 

wherein, Ts′n=Tcurrent−Tsn, Tcurrent is the current time; w(Ts′n) is the weight coefficient of Ts′n, so that the closer Tsn is to the current time, the greater its weight is.