Systems and methods for processing sensor data

Patent metadata

Field	Value
Publication number	US-9839395-B2
Application number	US-25832508-A
Country	US
Kind code	B2
Filing date	Oct 24, 2008
Priority date	Dec 17, 2007
Publication date	Dec 12, 2017
Grant date	Dec 12, 2017

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.

First claim

What is claimed is:

1. A method for processing continuous glucose sensor data, the method comprising:
receiving sensor data from a continuous glucose sensor, wherein the sensor data comprises one or more sensor data points;
obtaining an estimated sensor glucose value from the one or more sensor data points;
determining, using a processor module, a predicted amount of time to hypoglycemia or a predicted amount of time to hyperglycemia, wherein the determining is based at least in part on the estimated sensor glucose value and a glucose value threshold; and
programmatically producing, using the processor module, insulin delivery and/or insulin therapy instructions based at least in part on one or both of: a) the predicted amount of time to hyperglycemia meeting a criterion, and b) the predicted amount of time to hypoglycemia meeting a criterion, wherein the produced insulin delivery and/or insulin therapy instructions are usable to automate control of an insulin delivery device to automatically administer insulin.

2. The method of claim 1 , wherein the glucose threshold is user selectable.

3. The method of claim 1 , further comprising displaying the predicted amount of time on a user interface.

4. The method of claim 3 , wherein displaying the predicted amount of time is determined to be performed only when the predicted time is less than a predetermined amount of time.

5. The method of claim 1 , further comprising calculating at least two rate of change values; and filtering the at least two rate of change values to obtain a filtered rate of change value.

6. The method of claim 5 , wherein the at least two rate of change values are point-to-point rate of change values.

7. The method of claim 5 , wherein the predicted amount of time is further based on the filtered rate of change value.

8. The method of claim 5 , further comprising determining an insulin therapy based at least in part on the filtered rate of change value.

9. The method of claim 5 , wherein the filtering to obtain a filtered rate of change value is performed continuously.

10. The method of claim 5 , wherein the filtering to obtain a filtered rate of change value is not performed when a level of noise is above a noise threshold.

11. The method of claim 5 , further comprising displaying a trend arrow representative of the filtered rate of change values.

12. The method of claim 1 , further comprising triggering a predicted hypoglycemia alarm based on the predicted amount of time to hyperglycemia meeting a criterion.

13. The method of claim 1 , further comprising triggering a predicted hyperglycemia alarm based on the predicted amount of time to hypoglycemia meeting a criterion.

14. The method of claim 1 , further comprising using the insulin delivery device to automatically administer insulin based on the produced insulin delivery and/or insulin therapy instructions.

15. A system for processing continuous glucose sensor data, the system comprising:
a continuous glucose sensor configured to generate sensor data associated with glucose concentration in a host; and
a computer system comprising programming configured to obtain an estimated sensor glucose value and determine a predicted amount of time to hypoglycemia or a predicted amount of time to hyperglycemia, wherein the predicted amount of time is based at least in part on the estimated sensor glucose value and a glucose threshold, and wherein the programming is further configured to produce insulin delivery and/or insulin therapy instructions based at least in part on one or both of: a) a determination that the predicted amount of time to hypoglycemia meets a criterion, and b) a determination that the predicted amount of time to hyperglycemia meets a criterion, wherein the produced insulin delivery and/or insulin therapy instructions are usable to automate control of an insulin delivery device to automatically administer insulin.

16. The system of claim 15 , wherein the glucose threshold is user selectable.

17. The system of claim 15 , wherein the computer system is configured to display the predicted amount of time on a user interface.

18. The system of claim 17 , wherein the computer system is configured to display the predicted amount of time only when the predicted amount of time is less than a predetermined amount of time.

19. The system of claim 15 , wherein the computer system is incorporated in a hand-held device.

20. The system of claim 15 , wherein the computer system is incorporated in sensor electronics configured to be physically coupled to the continuous glucose sensor.

21. The system of claim 15 , wherein the programming is further configured to calculate at least two rate of change values and filter the at least two rate of change values to obtain a filtered rate of change value.

22. The system of claim 21 , wherein the at least two rate of change values are point-to-point rate of change values.

23. The system of claim 21 , wherein the computer system determines an insulin therapy based at least in part on the filtered rate of change value.

24. The system of claim 21 , wherein computer system continuously filters the at least two rate of change values to obtain a filtered rate of change value.

25. The system of claim 21 , wherein the computer system displays a trend arrow representative of the filtered rate of change values.

26. The system of claim 21 , wherein the computer system filters the at least two rate of change values to obtain a filtered rate of change value only when a level of noise is below a threshold.

27. The method of claim 21 , wherein the predicted amount of time is further based on the filtered rate of change value.

28. The system of claim 15 , wherein the programming is further configured to trigger a predicted hypoglycemia alarm based on the predicted amount of time to hyperglycemia meeting a criterion.

29. The system of claim 15 , wherein the programming is further configured to trigger a predicted hyperglycemia alarm based on the predicted amount of time to hypoglycemia meeting a criterion.

30. The system of claim 15 , further comprising the insulin delivery device configured to automatically administer insulin based on the produced insulin delivery and/or therapy instructions.

Assignees

• Shariati Mohammad Ali
• Kamath Apurv Ullas
• Mensinger Michael Robert
• Dexcom Inc

Inventors

• Shariati Mohammad Ali
• Kamath Apurv Ullas
• Mensinger Michael Robert

Classifications

• G16H20/10

  relating to drugs or medications, e.g. for ensuring correct administration to patients · CPC title

• A61B5/7264

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title

• A61B5/01

  Measuring temperature of body parts {; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue} (clinical contact thermometers G01K13/20) · CPC title

• G16H50/50

  for simulation or modelling of medical disorders · CPC title

• A61B5/14865

  invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors · CPC title