Systems and methods for replacing signal artifacts in a glucose sensor data stream

Patent metadata

Field	Value
Publication number	US-9510782-B2
Application number	US-201213439701-A
Country	US
Kind code	B2
Filing date	Apr 4, 2012
Priority date	Aug 22, 2003
Publication date	Dec 6, 2016
Grant date	Dec 6, 2016

Abstract

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred.

First claim

What is claimed is:

1. A method for a continuous analyte monitoring system to output estimated analyte values generated using a continuous analyte sensor, the method comprising:
receiving sensor data from a continuous analyte sensor for a time period;
determining in substantially real-time, using a processor module, a first level of reliability of the continuous analyte sensor based on a first portion of the sensor data, wherein the first level of reliability is selected from a plurality of predetermined levels of reliability;
estimating, using the processor module, at least one analyte value for a first future time period based at least in part on the first portion of the sensor data;
turning on or maintaining outputting, using the processor module, the estimated at least one analyte value for the future time period based on the determined first level of reliability;
determining in substantially real-time, using the processor module, a second level of reliability of the continuous analyte sensor based on a second portion of the sensor data, wherein the second level of reliability is selected from the plurality of predetermined levels of reliability;
estimating, using the processor module, at least another analyte value for a second future time period based at least in part on the second portion of the sensor data; and
turning off outputting, using the processor module, the estimated at least another analyte value for the second future time period based on the determined second level of reliability,
wherein the first level of reliability indicates a higher level of reliability than the second level of reliability.

2. The method of claim 1 , wherein the determining of the first or the second level of reliability comprises evaluating a rate of change.

3. The method of claim 1 , wherein the determining of the first or the second level of reliability comprises performing a first derivative analysis or a second derivative analysis.

4. The method of claim 1 , wherein the determining of the first or the second level of reliability comprises determining a level of confidence.

5. The method of claim 1 , wherein the estimating is not performed responsive to the first or the second level of reliability failing a criterion.

6. The method of claim 1 , wherein the determining of the first or the second level of reliability comprises determining a residual associated with the corresponding first or second portion of the sensor data.

7. The method of claim 1 , wherein the first or the second level of reliability is selected from three or more predetermined levels of reliability.

8. The method of claim 1 , further comprising triggering an alarm responsive to the at least one analyte value meeting one or more predetermined criteria.

9. The method of claim 1 , wherein the at least one analyte value for the first future time period comprises a projected glucose value.

10. The method of claim 9 , further comprising providing information for controlling an insulin pump.

11. The method of claim 10 , wherein the information comprises the projected glucose value.

12. The method of claim 10 , wherein the information comprises an amount or timing associated with insulin delivery using the insulin pump based on the projected glucose value.

13. The method of claim 10 , wherein the information is based on the first level of reliability.

14. The method of claim 10 , wherein the information comprises the first level of reliability.

15. A system for estimating an analyte value from a continuous analyte sensor, the system comprising:
a sensor data receiving module configured to receive a data stream from a continuous analyte sensor for a time period; and
a processor module configured to determine a first level of reliability of the continuous analyte sensor based on a first portion of the data stream, wherein the first level of reliability is selected from a plurality of predetermined levels of reliability, wherein the processor module is configured to estimate at least one analyte value for a first future time period based at least in part on the first portion of the data stream, and turn on or maintain outputting of the estimated at least one analyte value for the first future time period based on the determined first level of reliability, wherein the processor is configured to determine a second level of reliability of the continuous analyte sensor based on a second portion of the data stream, wherein the second level of reliability is selected from the plurality of predetermined levels of reliability, wherein the processor module is configured to estimate at least another analyte value for a second future time period based at least in part on the second portion of the data stream, and turn off outputting of the estimated at least another analyte value for the second future time period based on the determined second level of reliability, and wherein the first level of reliability indicates a higher level of reliability than the second level of reliability.

16. The system of claim 15 , wherein the processor module is configured to determine the first level of reliability or the second level of reliability based on a rate of change of the corresponding first portion or the second portion of the data stream.

17. The system of claim 15 , wherein the processor module is configured to determine the first level of reliability or the second level of reliability by performing a first derivative analysis or a second derivative analysis.

18. The system of claim 15 , wherein the processor module is configured to determine the first level of reliability or the second level of reliability by determining a level of confidence associated with the corresponding data stream.

19. The system of claim 15 , wherein the processor module is configured to not estimate the at least one analyte value or the at least another analyte value when the first level of reliability or the second level of reliability fails a criterion.

20. The system of claim 15 , wherein the processor module is configured to determine the first level of reliability or the second level of reliability based on a residual associated with the corresponding data stream.

21. The system of claim 15 , wherein the plurality of levels of reliability comprises three or more predetermined levels of reliability.

22. The system of claim 15 , wherein the processor module is configured to trigger an alarm responsive to the at least one analyte value meeting one or more predetermined criteria.

23. The system of claim 15 , wherein the at least one analyte value for the first future time period comprises a projected glucose value.

24. The system of claim 23 , wherein the processor module is configured to provide information for controlling an insulin pump.

25. The system of claim 24 , wherein the information comprises the projected glucose value.

26. The system of claim 24 , wherein the information comprises an amount or timing associated with insulin delivery using the insulin pump based on the projected glucose value.

27. The system of claim 24 , wherein the information is based on the first level of reliability.

28. The system of claim 24 , wherein the information comprises the first level of reliability.

Assignees

• Kamath Apurv Ullas
• Brauker James H
• Mahalingam Aarthi
• Li Ying
• Dexcom Inc

Inventors

• Kamath Apurv Ullas
• Brauker James H
• Mahalingam Aarthi
• Li Ying

Classifications

• A61B5/145

  Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value {; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue} (non-radiation detecting or locating of foreign bodies in blood A61B5/06) · CPC title

• A61B5/14539

  for measuring pH · CPC title

• A61B5/14865 Primary

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

• A61B5/14532

  for measuring glucose, e.g. by tissue impedance measurement · CPC title

• A61B5/7257

  using Fourier transforms · CPC title