Use of sensor redundancy to detect sensor failures

• US 10,881,339 B2
• Filed: 03/07/2013
• Issued: 01/05/2021
• Est. Priority Date: 06/29/2012
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Peyser, Thomas A., Bhavaraju, Naresh C., Bowman, Leif N., Kamath, Apurv Ullas, Mahalingam, Aarthi, Pryor, Jack, Simpson, Peter C.
• Primary Examiner(s): Agahi, Puya
• Application Number:
  US13/789,279
• Publication Number:
  US 20140005505A1
• Time in Patent Office: 2,861 Days
• Field of Search: 600347, 600365
• CPC Class Codes: A61B 2562/04 Arrangements of multiple sensors of the same type
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1459 invasive, e.g. introduced into the body by a catheter A61B5/1464 takes precedence
• CPC Class Codes: A61B 5/1473 invasive, e.g. introduced into the body by a catheter A61B5/1482 takes precedence
• CPC Class Codes: A61B 5/14865 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

Devices, systems, and methods for providing more accurate and reliable sensor data and for detecting sensor failures. Two or more electrodes can be used to generate data, and the data can be subsequently compared by a processing module. Alternatively, one sensor can be used, and the data processed by two parallel algorithms to provide redundancy. Sensor performance, including sensor failures, can be identified. The user or system can then respond appropriately to the information related to sensor performance or failure.

Claims

1. A method for detecting a sensor failure in a continuous analyte monitoring system implanted in a host, the method comprising:

applying a first bias potential to a first electrode implanted in the host;

receiving first sensor data from the first electrode, wherein the first sensor data are indicative of a property corresponding to the first electrode;

applying a second bias potential to a second electrode implanted in the host, wherein the first bias potential and the second bias potential are different;

receiving second sensor data from the second electrode, wherein the second sensor data are indicative of the property corresponding to the second electrode;

comparing, using a processor module, the property corresponding to the first electrode with the property corresponding to the second electrode; and

identifying a failure in at least one of the first electrode or the second electrode when a property magnitude of the first electrode is different from a property magnitude of the second electrode by a predetermined value.

2. The method of claim 1, wherein the property is sensor sensitivity to an analyte.

3. The method of claim 2, wherein the property is baseline.

4. The method of claim 1, wherein the first electrode and the second electrode are separated by a distance of less than 1 mm at a closest proximity.

5. The method of claim 1, wherein the first electrode and the second electrode are separated by a distance of less than 0.5 mm at a closest proximity.

6. A method for detecting a sensor failure in a continuous analyte monitoring system implanted in a host, the method comprising:

applying a first bias potential to a first electrode implanted in the host;

receiving first sensor data over a time period from the first electrode, wherein the first sensor data are indicative of a property corresponding to the first electrode, wherein the property is at least one of sensor sensitivity or baseline;

applying a second bias potential to a second electrode implanted in the host, wherein the first bias potential and the second bias potential are different;

receiving second sensor data over the time period from the second electrode, wherein the second sensor data are indicative of the property corresponding to the second electrode;

determining, using a processor module, over the time period a correlation between the property corresponding to the first electrode with the property corresponding to the second electrode; and

identifying a failure in at least one of the first electrode or the second electrode when the correlation is less than a predetermined value.

7. A method for detecting a sensor failure in a continuous analyte monitoring system implanted in a host, the method comprising:

applying a potential to a continuous analyte sensor implanted in the host;

receiving sensor data over a time period from the continuous analyte sensor, the sensor data comprising at least one sensor data point, wherein the applying of the potential is at least in part during the time period;

processing the at least one sensor data point to determine a first value associated with a first analyte concentration value, the first value determined using a first calculation;

processing the at least one sensor data point to determine a second value associated with a second analyte concentration value, the second value determined using a second calculation different from the first calculation;

comparing, using a processor module, the first value to the second value;

identifying a sensor failure if a difference between the first value and the second value exceeds a predetermined amount; and

responsive to identifying the sensor failure, triggering an alert indicating the sensor failure.

8. The method of claim 7, wherein the alert indicates that the sensor failure is temporary.

9. The method of claim 7, wherein the alert comprises a prompt to the host to implant a replacement continuous analyte sensor.

10. The method of claim 7, further comprising preventing display of analyte concentration values from the continuous analyte sensor.

11. The method of claim 7, further comprising, responsive to identifying the sensor failure, shutting off the continuous analyte sensor.

12. The method of claim 7, wherein the alert comprises at least one of an audible alert, a tactile alert, or a visible alert.

13. The method of claim 7, wherein the first calculation is based at least in part on the Michaelis-Menten equation and the second calculation is based at least in part on a linear regression.

14. The method of claim 7, further comprising determining a quality score based at least in part on the comparing of the first value to the second value, wherein the identifying of the sensor failure is based at least in part on the quality score.

15. The method of claim 14, further comprising displaying the quality score to the host.

16. The method of claim 7, further comprising, responsive to identifying the sensor failure, prompting the host to provide a reference analyte concentration value.

17. The method of claim 7, wherein the identifying the sensor failure is also based at least in part on a time of day.

18. The method of claim 7, wherein the identifying the sensor failure is also based at least in part on a time after the continuous analyte sensor was implanted in the host.

19. The method of claim 7, further comprising heating tissue of the host with a heating element of the continuous analyte sensor, wherein the identifying the sensor failure is based at least in part on a property of the heating element.

20. The method of claim 7, further comprising, responsive to identifying the sensor failure, switching operation of the continuous analyte sensor from a first mode to a second mode.