IP Library Granted Patent US 10,610,137
Granted Patent B2
US 10,610,137 · App. 16/457,688 · Granted Apr 7, 2020

System and methods for processing analyte sensor data for sensor calibration

Inventors: Apurv Ullas Kamath (San Diego, CA); James H. Brauker (Addison, MI); Paul V. Goode, Jr. (Round Rock, TX); Aarthi Mahalingam (San Diego, CA); Jack Pryor (Ladera Ranch, CA)
Assignee: DexCom, Inc.
A61B5/14546A61B5/0031A61B5/1451A61B5/1473A61B5/1495A61B5/14532A61B5/14865A61B5/1468A61B5/1486A61B5/14503A61B5/14735A61B2560/0223Y02A90/26
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Quick Facts
Patent No.
US 10,610,137
App. No.
16/457,688
Granted
Apr 7, 2020
Kind
B2
Abstract

Systems and methods for processing sensor analyte data are disclosed, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. The sensor can be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. Reference data resulting from benchtop testing an analyte sensor prior to its insertion can be used to provide initial calibration of the sensor data. Reference data from a short term continuous analyte sensor implanted in a user can be used to initially calibrate or update sensor data from a long term continuous analyte sensor.

Claims (44)

1. A method of processing sensor data from a transcutaneous glucose sensor, the method comprising:

receiving sensor data from the transcutaneous glucose sensor by an electronics module operably connected to the transcutaneous glucose sensor, wherein the sensor data is indicative of a glucose concentration in a host; and

calibrating, using an electronic device, the sensor data based on predetermined calibration information without reference data from a reference glucose monitor, wherein the predetermined calibration information comprises predetermined sensitivity information and predetermined baseline information associated with the transcutaneous glucose sensor, and wherein the predetermined calibration information is derived from in vivo testing of at least one other transcutaneous glucose sensor.

2. The method of claim 1 , wherein the calibrating comprises determining a conversion function for the sensor data, wherein the conversion function is based on the predetermined calibration information.

3. The method of claim 2 , further comprising converting the sensor data using the conversion function.

4. The method of claim 1 wherein the calibrating comprises determining a conversion function for the sensor data, and wherein the calibrating further comprises at least one of guiding or validating the conversion function based on the predetermined calibration information.

5. The method of claim 4 , further comprising validating the conversion function based on the predetermined calibration information and determining an error if the validation fails.

6. The method of claim 4 , further comprising validating the conversion function based on the predetermined calibration information and requesting reference data if the validation fails.

7. The method of claim 4 , further comprising validating the conversion function based on the predetermined calibration information and converting the sensor data if the validation passes.

8. The method of claim 1 , wherein the predetermined calibration information is provided in a calibration code.

9. The method of claim 8 , wherein the calibration code is detected or received by the electronic device after sensor insertion.

10. A system for processing sensor data from a transcutaneous glucose sensor, the system comprising:

a transcutaneous glucose sensor configured to provide sensor data indicative of a glucose concentration in a host; and

a processor module configured to calibrate the sensor data based on predetermined calibration information without reference data from a reference glucose monitor, wherein the predetermined calibration information comprises predetermined sensitivity information and predetermined baseline information associated with the transcutaneous glucose sensor, and wherein the predetermined calibration information is derived from in vivo testing of at least one other transcutaneous glucose sensor.

11. The system of claim 10 , wherein the processor module is configured to determine a conversion function for the sensor data, wherein the conversion function is based on the predetermined calibration information.

12. The system of claim 11 , wherein the processor module is configured to convert the sensor data using the conversion function.

13. The system of claim 12 , wherein the conversion function is determined without reference data from a reference glucose monitor.

14. The system of claim 12 , wherein the conversion function is based on reference data from a reference glucose monitor and the predetermined calibration information.

15. The system of claim 12 , wherein the reference data comprises a single reference data point from the reference glucose monitor, and wherein the conversion function is based on the single reference data point and the predetermined calibration information.

16. The system of claim 10 , wherein the processor module is incorporated into a receiver.

17. The system of claim 10 , wherein the processor module is configured to determine a conversion function for the sensor data, and wherein the processor module is configured to guide or validate the conversion function based on the predetermined calibration information.

18. The system of claim 17 , wherein the processor module is configured to validate the conversion based on the predetermined calibration information and determine an error if the validation fails.

19. The system of claim 17 , wherein the processor module is configured to validate the conversion based on the predetermined calibration information and request reference data if the validation fails.

20. The system of claim 17 , wherein the processor module is configured to validate the conversion based on the predetermined calibration information and convert the sensor data if the validation passes.

21. The system of claim 10 , further comprising:

a transmitter unit configured to operably connect to the transcutaneous glucose sensor, the transmitter unit having a radio frequency transmitter configured to wirelessly transmit sensor data; and

a receiver unit comprising a radio frequency receiver and a display, the radio frequency receiver configured to receive the transmitted sensor data and the display configured to display information based on the transmitted sensor data.

22. The system of claim 21 , wherein the processor module is incorporated in the transmitter unit.

23. The system of claim 10 , wherein the predetermined calibration information is provided in a calibration code.

24. The system of claim 23 , wherein the calibration code is detected or received by the processor module after sensor insertion.

25. The system of claim 23 , wherein the electronic device is a receiver.

26. The system of claim 23 , wherein the electronic device is sensor electronics.

27. A method of processing sensor data from a transcutaneous glucose sensor, the method comprising:

receiving sensor data from the transcutaneous glucose sensor by an electronics module operably connected to the transcutaneous glucose sensor, wherein the sensor data is indicative of a glucose concentration in a host;

configuring an electronic device to perform improved calibration of the sensor data from the transcutaneous glucose sensor, based on predetermined calibration information; and

calibrating, using the electronic device, the sensor data based on the predetermined calibration information without reference data from a reference glucose monitor, wherein the predetermined calibration information comprises predetermined sensitivity information and predetermined baseline information associated with the transcutaneous glucose sensor, and wherein the predetermined calibration information is derived from in vivo testing of at least one other transcutaneous glucose sensor.

28. The method of claim 27 , wherein the calibrating comprises determining a conversion function for the sensor data, wherein the conversion function is based on the predetermined calibration information.

29. The method of claim 28 , further comprising converting the sensor data using the conversion function.

30. The method of claim 27 wherein the calibrating comprises determining a conversion function for the sensor data, and wherein the calibrating further comprises at least one of guiding or validating the conversion function based on the predetermined calibration information.

31. The method of claim 30 , further comprising validating the conversion function based on the predetermined calibration information and determining an error if the validation fails.

32. The method of claim 30 , further comprising validating the conversion function based on the predetermined calibration information and requesting reference data if the validation fails.

33. The method of claim 30 , further comprising validating the conversion function based on the predetermined calibration information and converting the sensor data if the validation passes.

34. The method of claim 27 , wherein the predetermined calibration information is provided in a calibration code.

35. The method of claim 34 , wherein the calibration code is detected or received by the electronic device after sensor insertion.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 24, 2020
From: MAHALINGAM, AARTHI
To: DEXCOM, INC.
Reel/Frame 051905/0492 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 4, 2020
From: MAHALINGAM, AARTHI
To: DEXCOM, INC.
Reel/Frame 051712/0414 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 3, 2019
From: PRYOR, JACK
To: DEXCOM, INC.
Reel/Frame 049664/0410 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 3, 2019
From: GOODE, PAUL V., JR.; BRAUKER, JAMES H.; KAMATH, APURV U.
To: DEXCOM, INC.
Reel/Frame 049664/0461 →
Continuity (7)
Continuation 15787595 · Oct 18, 2017
Continuation 15065623 · Mar 9, 2016
Continuation 13607162 · Sep 7, 2012
Continuation 12683755 · Jan 7, 2010
Continuation 11373628 · Mar 9, 2006
Provisional Application 60660743 · Mar 10, 2005
Related Publication 20190320953A1 · Oct 24, 2019
Cited By (5)
US 1,069,828 US 12,453,494 US 12,458,257 US 12,458,258 US 12,690,787