IP Library Granted Patent US 8,369,919
Granted Patent B2
US 8,369,919 · App. 12/258,320 · Granted Feb 5, 2013

Systems and methods for processing sensor data

Inventors: Apurv Ullas Kamath (San Diego, CA); Paul V. Goode (Cherry Hill, NJ); James H. Brauker (Addison, MI); James P. Thrower (Oakland, NJ)
Assignee: DexCom, Inc.
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Quick Facts
Patent No.
US 8,369,919
App. No.
12/258,320
Filed
Oct 24, 2008
Granted
Feb 5, 2013
Kind
B2
Art Unit
3735
USPC
600/347
Abstract

Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

Claims (30)

1. A method for calibration of a continuous glucose sensor, the method comprising:

receiving sensor data from a continuous analyte sensor, the sensor data comprising one or more sensor data points;

receiving reference data comprising one or more reference data points from a reference analyte monitor;

forming, by a processor module, a calibration data set comprising the one or more sensor data points and the one or more reference points;

determining in substantially real-time, by a processor module, a degree of association of the calibration data set with a curve, wherein the curve is based at least in part on the calibration data set; and

processing the sensor data responsive to the determined degree of association.

2. The method of claim 1 , wherein the determining a degree of association comprises evaluating a correlation of at least one matched data pair with the curve.

3. The method of claim 1 , wherein the forming a calibration data set comprises forming at least one matched data pair, and wherein the curve comprises a calibration line formed from said calibration set, wherein the determining a degree of association comprises evaluating a correlation of the matched data pairs in the calibration set with the calibration line.

4. The method of claim 1 , wherein the forming a calibration data set comprises forming one or more matched data pairs by matching time corresponding sensor and reference data and forming the calibration data set including one or more of the one or more matched data pairs, wherein determining a degree of association comprises iteratively evaluating a plurality of combinations of matched data pairs in the calibration data set to obtain a plurality of calibration lines.

5. The method of claim 4 , further comprising removing matched data pairs from the calibration data set in response to the iterative evaluation.

6. The method of claim 1 , wherein the determining a degree of association of the data set comprises evaluating a goodness of fit of the calibration data set with a calibration line drawn from the calibration data set.

7. The method of claim 1 , wherein the processing comprises requesting reference data based on the determined degree of association.

8. The method of claim 1 , wherein the processing comprises disabling a display of the sensor data based on the determined degree of association.

9. The method of claim 1 , wherein the processing comprises controlling an output based on the determined degree of association.

10. The method of claim 9 , wherein the controlling an output comprises controlling a display of the sensor data based on the determined degree of association.

11. The method of claim 10 , wherein the controlling a display comprises providing error bars or ± values responsive to the determined degree of association.

12. The method of claim 1 , wherein the processing comprises determining a confidence level based on the degree of association.

13. A system for calibration of a continuous glucose sensor, the system comprising:

a processor module configured to: a) receive sensor data from a continuous analyte sensor, the sensor data comprising one or more sensor data points; b) receive reference data comprising one or more reference data points from a reference analyte monitor; c) determine in substantially real-time a degree of association of the calibration data set with a curve, wherein the curve is based at least in part on the calibration data set; and d) process the sensor data responsive to the determined degree of association.

14. The system of claim 13 , wherein the calibration data set comprises one or more matched data pairs, and wherein the processor module is configured to determine the degree of association by evaluating a correlation of at least one matched data pair with the curve.

15. The system of claim 13 , wherein the calibration data set comprises one or more matched data pairs and a calibration line from said calibration data set, and wherein the processor module is configured to determine the degree of association by evaluating a correlation of one or more matched data pairs of the one or more matched data pairs in the calibration data set with the calibration line.

16. The system of claim 13 , wherein the calibration data set comprises one or more matched data pairs, and wherein the determining degree of association comprises iteratively evaluating a plurality of combinations of matched data pairs in the calibration data set to obtain a plurality of calibration lines.

17. The system of claim 16 , wherein the processor module is configured to remove one or more matched data pairs from the calibration data set in response to the iterative evaluation.

18. The system of claim 13 , wherein the calibration data set comprises one or more matched data pairs and wherein the processor module is configured to determine the degree of association by evaluating a goodness of fit of the calibration data set with a calibration line drawn from the calibration data set.

19. The system of claim 13 , wherein the processor module is configured to request reference data based on the determined degree of association.

20. The system of claim 13 , wherein the processor module is configured to disable display of the sensor data based on the determined degree of association.

21. The system of claim 13 , wherein the processor module is configured to control an output based on the determined degree of association.

22. The system of claim 21 , wherein the processor module is configured to control an output by controlling a display of the sensor data based on the determined degree of association.

23. The system of claim 22 , wherein the processor module is configured to control a display by providing error bars or ± values responsive to the determined degree of association.

24. The system of claim 13 , wherein the processor module is configured to determine a confidence level based on the degree of association.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 21, 2012
From: GOODE, PAUL V.; BRAUKER, JAMES H.; THROWER, JAMES P.
To: DEXCOM, INC.
Reel/Frame 028822/0909 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2009
From: KAMATH, APURV ULLAS; MENSINGER, MICHAEL ROBERT; LI, YING; MAHALINGAM, AARTHI; DOBBLES, J. MICHAEL
To: DEXCOM, INC.
Reel/Frame 022992/0544 →
Continuity (10)
Continuation In Part 10633367 · Aug 1, 2003
Continuation In Part 11007920 · Dec 8, 2004
Continuation In Part 11077739 · Mar 10, 2005
Provisional Application 60528382 · Dec 9, 2003
Provisional Application 60587787 · Jul 13, 2004
Provisional Application 60614683 · Sep 30, 2004
Provisional Application 60587800 · Jul 13, 2004
Provisional Application 60614764 · Sep 30, 2004
Provisional Application 61014398 · Dec 17, 2007
Related Publication 20090192745A1 · Jul 30, 2009