SYSTEM AND/OR METHOD OF VALIDATING METERED BLOOD GLUCOSE FOR GLUCOSE SENSOR CALIBRATION

• US 20120103835A1
• Filed: 10/26/2011
• Published: 05/03/2012
• Est. Priority Date: 10/28/2010
• Status: Abandoned Application

• Current Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Inventors: Cooper, Kenneth W., Shah, Rajiv, Liang, Bradley, Gautham, Raghavendhar
• Application Number:
  US13/282,166
• Publication Number:
  US 20120103835A1
• Time in Patent Office: Days
• US Class Current: 205/782
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1473 invasive, e.g. introduced into the body by a catheter A61B5/1482 takes precedence
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/6849 in combination with a needle set
• CPC Class Codes: G01N 27/3274 Corrective measures, e.g. error detection, compensation for temperature or hematocrit, calibration coding of calibration information G01N33/48771
• CPC Class Codes: G01N 33/66 involving blood sugars, e.g. galactose

Abstract

The subject matter disclosed herein relates to systems, methods and/or devices for calibrating sensor data to be used in estimating a blood glucose concentration. A relationship between sensor signal values and reference readings may be used to estimate a relationship between sensor signal values and measurements of blood glucose concentration.

Claims

1. A method comprising:

obtaining a blood glucose reference sample from a patient;

based, at least in part on predefined criteria, selectively excluding the blood glucose reference sample for use in deriving a relationship between glucose sensor signal values and glucose sensor measurements based, at least in part, on temporal pairings of blood glucose reference samples with glucose sensor signal values.

2. The method of claim 1, and wherein said excluding said blood glucose reference sample further comprises:

determining that said blood glucose reference sample deviates from a trend.

3. The method of claim 2, wherein determining that said blood glucose reference sample deviates from the trend further comprises:

correlating said blood glucose reference sample with a glucose sensor measurement; and

determining whether a relative difference between a value of the blood glucose reference sample and the glucose sensor measurement exceeds a threshold.

4. The method of claim 1, wherein said excluding further comprises excluding said blood glucose reference sample in response to detecting at least one contaminant in said blood glucose reference sample.

5. The method of claim 4, wherein said detecting said at least one contaminant further comprises detecting based, at least in part, on at least one detected signature associated with said contaminant.

6. The method of claim 5, wherein the signature is based, at least in part, on a residue profile.

7. The method of claim 5, wherein said signature is based, at least in part, on a time to peak in a current signal generated in response to said blood glucose reference sample.

8. The method of claim 5, wherein said signature is based, at least in part, on a spectral analysis of a current signal generated in response to said blood glucose reference sample.

9. The method of claim 2, and further comprising:

characterizing said trend based, at least in part, on a computed rate of change associated with glucose sensor measurements, and wherein said determining whether said blood glucose reference sample deviates from said trend further comprises;

comparing said blood glucose reference sample with a temporally associated glucose sensor measurement; and

selectively excluding the blood glucose reference sample value based, at least in part, on said comparison.

10. The method of claim 9, wherein said selectively excluding further comprises:

if said computed rate of change exceeds a positive threshold, selectively excluding said blood glucose reference sample if a difference between the blood glucose reference sample and the temporally associated glucose sensor measurement exceed a threshold.

11. The method of claim 9, wherein said selectively excluding further comprises:

if said computed rate of change is less than a negative threshold, selectively excluding said blood glucose reference sample if a difference between the blood glucose reference sample and the temporally associated glucose sensor measurement exceed a threshold.

12. An apparatus comprising:

a glucose sensor; and

a processor to;

receive a signal generated in response to a blood glucose reference sample obtained from a patient; and

based, at least in part on predefined criteria, selectively exclude use of the received signal in deriving a relationship between signal values generated by said glucose sensor and blood glucose sensor measurements based, at least in part, on a temporal pairing of said blood glucose reference sample with at least one glucose sensor signal value.

13. The apparatus of claim 12, wherein said received signal comprises a current signal generated in response to a concentration of glucose in said blood glucose reference sample.

14. The apparatus of claim 12, the processor further to generate an alarm signal in response to said exclusion of the received signal.

15. An article comprising:

a non-transitory storage medium comprising machine-readable instructions stored thereon which are executable by a special purpose computing apparatus to;

receive a signal generated in response to a blood glucose reference sample obtained from a patient; and

based, at least in part on predefined criteria, selectively exclude use of the received signal in deriving a relationship between signal values generated by a glucose sensor and blood glucose sensor measurements based, at least in part, on a temporal pairing of said blood glucose reference sample with glucose sensor signal values.

16. The article of claim 15, wherein said instructions are further executable by said special purpose computing apparatus to:

determine that said blood glucose reference sample deviates from a trend.

17. The article of claim 16, wherein said instructions are further executable by said special purpose computing apparatus to determine that said blood glucose reference sample deviates from the trend by:

correlating said blood glucose reference sample with a glucose sensor measurement; and

determining whether a relative difference between a value of the blood glucose reference sample and the glucose sensor measurement exceeds a threshold.

18. The article of claim 15, wherein said instructions are further executable by said special purpose computing apparatus to exclude said blood glucose reference sample in response to detection of at least one contaminant in said blood glucose reference sample.

19. The article of claim 18, wherein said instructions are further executable by said special purpose computing apparatus to detect said at least one contaminant based, at least in part, on at least one detected signature associated with said contaminant.20.

An apparatus comprising:

means for obtaining a blood glucose reference sample from a patient;

based, at least in part on predefined criteria, means for selectively excluding the blood glucose reference sample for use in deriving a relationship between glucose sensor signal values and glucose sensor measurements based, at least in part, on temporal pairings of at blood glucose reference samples with glucose sensor signal values.