Closed loop blood glucose control algorithm analysis

• US 8,467,972 B2
• Filed: 04/28/2010
• Issued: 06/18/2013
• Est. Priority Date: 04/28/2009
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Rush, Benjamin
• Primary Examiner(s): Riggs, II, Larry D
• Application Number:
  US12/769,634
• Publication Number:
  US 20100274497A1
• Time in Patent Office: 1,147 Days
• Field of Search: None
• US Class Current: 702/19
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: G01N 33/49 Blood chemical methods for determining blood cell populations G01N33/5094; chemical analysis of blood groups or blood types G01N33/80
• CPC Class Codes: G16B 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Methods and devices to generate a tool for testing, simulating and/or modifying a closed loop control algorithm are provided. Embodiments include receiving glucose data for a predetermined time period, determining a variation in the glucose level based on the received glucose data, filtering a received glucose data based on the determined variation, substituting a negative change in the glucose data value with a predetermined value to generate a sequence of modified glucose values, and integrating the sequence of modified glucose values to determine an uncontrolled blood glucose excursion condition.

Claims

1. A method, comprising:

receiving, at one or more processors, analyte data for a predetermined time period;

comparing, using the one or more processors, at least two consecutive analyte data values in the received analyte data;

determining, using the one or more processors, a variation in an analyte level based on the comparison;

filtering, using the one or more processors, the received analyte data based on the determined variation;

substituting, using the one or more processors, one or more analyte data values associated with a decrease in analyte concentration with a predetermined value;

generating, using the one or more processors, a sequence of modified analyte values based upon the substitution;

integrating, using the one or more processors, the sequence of modified analyte values; and

determining, using the one or more processors, an uncontrolled analyte excursion condition based upon the integration.

2. The method of claim 1 wherein the predetermined value includes an average value.

3. The method of claim 2 wherein the average value includes an average of ten prior values.

4. The method of claim 2 wherein the average value includes a weighted average value.

5. The method of claim 4 wherein the weighted average value includes an equally weighted average value.

6. The method of claim 4 wherein the weighted average value includes an unequally weighted average value.

7. The method of claim 2 wherein the average value includes an unweighted average value.

8. The method of claim 1 wherein filtering based on the determined variation includes filtering out the one or more analyte values associated with the decrease in analyte concentration.

9. The method of claim 8 wherein the decrease in analyte concentration is determined based on the comparison of the at least two consecutive analyte data values in the received analyte data.

19. The method of claim 1 further comprising performing a test input of a closed loop control simulation using the determined uncontrolled analyte excursion condition.

10. An apparatus, comprising:

a user interface;

one or more processors operatively coupled to the user interface; and

a memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to receive analyte data for a predetermined time period, to compare at least two consecutive analyte data values in the received analyte data, to determine a variation in the analyte level based on the comparison, to filter the received analyte data based on the determined variation, to substitute one or more analyte data values associated with a decrease in analyte concentration with a predetermined value, to generate a sequence of modified analyte values based upon the substitution, to integrate the sequence of modified analyte values, and to determine an uncontrolled analyte excursion condition based upon the integration.

11. The apparatus of claim 10 wherein the predetermined value includes an average value.

12. The apparatus of claim 11 wherein the average value includes an average of ten prior values.

13. The apparatus of claim 10 wherein the average value includes a weighted average value.

14. The apparatus of claim 13 wherein the weighted average value includes an equally weighted average value.

15. The apparatus of claim 13 wherein the weighted average value includes an unequally weighted average value.

16. The apparatus of claim 10 wherein the average value includes an unweighted average value.

17. The apparatus of claim 10 wherein the memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to filter out the one or more analyte values associated with the decrease in analyte concentration.

18. The apparatus of claim 17 wherein the decrease in analyte concentration is determined based on the comparison of the at least two consecutive analyte data values in the received analyte data.

20. The apparatus of claim 10 wherein the memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to perform a test input of a closed loop control simulation using the determined uncontrolled analyte excursion condition.