Method to recalibrate continuous glucose monitoring data on-line

Patent metadata

Field	Value
Publication number	US-9858386-B2
Application number	US-201013504858-A
Country	US
Kind code	B2
Filing date	Nov 2, 2010
Priority date	Nov 2, 2009
Publication date	Jan 2, 2018
Grant date	Jan 2, 2018

Abstract

In a method of recalibrating continuous glucose monitoring data from a user, operable on a digital processor, an indication from the user that the user has taken a meal is received ( 806 ). A self-monitored of blood glucose levels from the user ( 810 ) at two separate times during a day corresponding to when the user has taken a meal. A glucose signal is received from a continuous glucose monitoring sensor ( 818 ) at times corresponding to the two separate times that the user has taken a meal. Two reconstructed blood glucose values based on the glucose signal from the continuous monitoring sensor at times when the at least two self-monitored of blood glucose levels are received from the user. A linear regression is performed ( 822 ) using y=ax+b, wherein x corresponds to the two reconstructed blood glucose values and y corresponds to the two self-monitored of blood glucose levels thereby generating an estimation of a and b. A recalibration signal, including the estimation of a and b, is transmitted to the continuous glucose monitoring sensor ( 824 ) based on the linear regression.

First claim

What is claimed is:

1. A system for recalibrating continuous glucose monitoring data from a user, comprising:
a. a processor;
b. a continuous glucose monitoring sensor, in communication with the processor, configured to provide data to generate a glucose signal of continuously monitored glucose values representing interstitial glucose values; and
c. a recalibration module, configured to:
i. receive an indication that the user has taken a meal;
ii. receive at least two self-monitored blood glucose levels corresponding to separate times after the user has taken the meal;
iii. receive the glucose signal from the continuous glucose monitoring sensor;
iv. generate reconstructed blood glucose values indicative of plasma glucose concentration values by converting at least some of the glucose signal representing interstitial glucose values into a plasma glucose concentration signal;
v. select at least two reconstructed blood glucose values among the generated reconstructed blood glucose values corresponding to times associated with the at least two self-monitored blood glucose levels;
vi. generate a first parameter and a second parameter by performing a linear regression using the at least two selected reconstructed blood glucose values and the at least two self-monitored blood glucose levels; and
vii. produce a recalibration signal of the continuously monitored glucose values using the first parameter and the second parameter.

2. The system of claim 1 , wherein the calibration module is configured to convert the at least some of the glucose signal into the plasma glucose concentration signal with a deconvolution procedure based on a dynamic model of a blood glucose to interstitial glucose system.

3. The system of claim 1 , wherein the calibration module is configured to generate a request to the user for a self monitored blood glucose level at a first predetermined period after the user has had the meal.

4. The system of claim 3 , wherein the first predetermined period comprises thirty minutes.

5. The system of claim 4 , wherein the calibration module is configured to generate a request to the user for a self monitored blood glucose level at a second predetermined period after the user has had the meal.

6. The system of claim 5 , wherein the second predetermined period comprises three hours.

7. The system of claim 1 , wherein the processor and the continuous glucose monitoring sensor are in communication with each other via a global computer network.

8. The system of claim 1 , wherein the recalibration module is further configured to execute each day after the user has taken two different meals.

9. A method of recalibrating continuous glucose monitoring data from a user, operable on a processor, comprising:
a. receiving from a receiver an indication that the user has taken a meal;
b. receiving from the receiver at least two self-monitored blood glucose levels corresponding to separate times after the user has taken the meal;
c. receiving a glucose signal of continuously monitored glucose values representing interstitial glucose values obtained from a continuous glucose monitoring sensor;
d. generating reconstructed blood glucose values indicative of plasma glucose concentration values by converting at least some of the glucose signal representing interstitial glucose values into a plasma glucose concentration signal;
e. selecting at least two reconstructed blood glucose values among the generated reconstructed blood glucose values corresponding to times associated with the at least two self-monitored blood glucose levels;
f. generating a first parameter and a second parameter by performing a linear regression using the at least two selected reconstructed blood glucose values and the at least two self-monitored blood glucose levels; and
g. producing a recalibration signal of the continuously monitored glucose values using the first parameter and the second parameter.

10. The method of claim 9 , wherein the converting the at least some of the glucose signal into the plasma glucose concentration signal includes using a deconvolution procedure based on a dynamic model of a blood glucose to interstitial glucose system.

11. The method of claim 9 , further comprising generating a request to the user for a self monitored blood glucose level at a first predetermined period after the user has had the meal.

12. The method of claim 11 , wherein the first predetermined period comprises thirty minutes.

13. The method of claim 12 , further comprising generating a request to the user for a self monitored blood glucose level at a second predetermined period after the user has had the meal.

14. The method of claim 13 , wherein the second predetermined period comprises three hours.

15. The method of claim 9 , further comprising communicating data from the continuous glucose monitoring sensor to the processor and from the processor to the continuous glucose monitoring sensor via a global computer network.

Assignees

• Cobelli Claudio
• De Nicolao Giuseppe
• Facchinetti Andrea
• Guerra Stefania
• Sparacino Giovanni
• Univ Degli Studi Padova

Inventors

• Cobelli Claudio
• De Nicolao Giuseppe
• Facchinetti Andrea
• Guerra Stefania
• Sparacino Giovanni

Classifications

• A61B2560/0223

  of calibration, e.g. protocols for calibrating sensors · CPC title

• A61B5/14532

  for measuring glucose, e.g. by tissue impedance measurement · CPC title

• A61B5/1495

  Calibrating or testing of in-vivo probes · CPC title

• G16H40/40 Primary

  for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades · CPC title

• G06F19/3412 Primary

  Physics · mapped topic