IP Library Granted Patent US 10,470,660
Granted Patent B2
US 10,470,660 · App. 15/261,711 · Granted Nov 12, 2019

Transcutaneous analyte sensors and monitors, calibration thereof, and associated methods

Inventors: Arturo Garcia (Chula Vista, CA); Peter C. Simpson (Cardiff, CA); Apurv Ullas Kamath (San Diego, CA); Naresh C. Bhavaraju (San Diego, CA); Stephen J. Vanslyke (Carlsbad, CA)
Assignee: DexCom, Inc.
A61B5/0031A61B5/1495A61B5/14532A61B5/7246A61B5/743A61B5/1118A61B5/14503A61B2560/0223A61B2560/0228
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,470,660
App. No.
15/261,711
Granted
Nov 12, 2019
Kind
B2
Abstract

Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.

Claims (35)

1. A method of calibrating an analyte concentration sensor within a biological system, using only a signal from the analyte concentration sensor, wherein at a first repeatable event, the analyte concentration value within the biological system is known, comprising:

on a monitoring device, detecting when an analyte concentration value as measured by an analyte concentration sensor indwelling in a biological system constitutes a first repeatable event; and

on the monitoring device or on a device or server operatively coupled to the monitoring device, correlating a measurement of the analyte concentration value when the biological system is at the detected first repeatable event to the known analyte concentration value, wherein the correlating includes determining a functional relationship between the sensor reading and the known analyte concentration value, wherein the functional relationship includes a multiplicative constant, wherein the first repeatable event is selected from the group consisting of a steady-state, a post prandial rise, a daily high-low glucose spread, a decay rate, and a rate of change.

2. The method of claim 1 , wherein the detecting includes waiting a predetermined time following entry of an event on the monitoring device.

3. The method of claim 2 , wherein the event is a meal or exercise.

4. The method of claim 1 , further comprising:

following the correlating, detecting the occurrence of a second repeatable event, the second repeatable event different than the first repeatable event; and

recalibrating the analyte concentration sensor by correlating a sensor reading when the biological system is at the detected second repeatable event to the known analyte concentration value.

5. The method of claim 4 , wherein the sensor reading has a first raw value at initial calibration and a second raw value at re-calibration, and wherein the first and second raw values are different.

6. The method of claim 5 , further comprising:

following the correlating, displaying a graph or table indicating currently measured and historic values of the analyte concentration as calibrated based at least in part on the correlating; and

following the recalibration, updating the display of the graph or table indicating currently measured and historic values of the analyte concentration according to the recalibration.

7. The method of claim 6 , wherein the updating changes the display of the historic values of the analyte concentration.

8. The method of claim 5 , further comprising:

determining a difference between the first and second raw value; and

comparing a quantity based on the difference to a predetermined criteria, and based on the comparing, determining if the sensor calibration has drifted.

9. The method of claim 8 , further comprising determining a quantitative amount that the sensor calibration has drifted.

10. The method of claim 9 , further comprising adjusting the sensor calibration based on the determined quantitative amount.

11. The method of claim 8 , wherein the quantity is the slope between the first and second raw value.

12. The method of claim 11 , wherein if the slope exceeds a predetermined threshold, prohibiting future calibrations until the slope no longer exceeds a predetermined threshold.

13. The method of claim 12 , further comprising prompting a user to enter a measured value.

14. The method of claim 4 , wherein the recalibrating is configured to occur at a time when a sensor reading is substantially stable, or within a predetermined range of readings for a threshold period of time, whereby an occurrence of unexpected jumps in readings is reduced.

15. The method of claim 1 , wherein the sensor is a glucose sensor.

16. The method of claim 1 , further comprising:

subsequent to the correlating, receiving a signal from the sensor; and

displaying a value corresponding to the received signal, the displayed value based on the received signal and the known analyte concentration value.

17. The method of claim 1 , further comprising determining the known analyte concentration value by prompting the user to enter a measured value.

18. The method of claim 1 , further comprising determining the known analyte concentration value by accessing a population average.

19. An analyte sensor system, comprising:

an analyte concentration sensor configured for use within a biological system, wherein the analyte concentration sensor is configured to be calibrated using only a signal from the analyte concentration sensor, wherein at a steady state the analyte concentration value within the biological system is known;

a monitoring device, wherein the monitoring device is configured to detect when an analyte concentration value as measured by the analyte concentration sensor indwelling in a biological system constitutes a first repeatable event; and

a processor, wherein the processor is a component of the monitoring device or of a device or a server operatively coupled to the monitoring device, wherein the processor is configured to correlate a measurement of the analyte concentration value when the biological system is at the detected first repeatable event to the known analyte concentration value, wherein the correlating includes determining a functional relationship between the sensor reading and the known analyte concentration value, wherein the functional relationship includes a multiplicative constant, wherein the first repeatable event is selected from the group consisting of a steady-state, a post prandial rise, a daily high-low glucose spread, a decay rate, and a rate of change.

20. The system of claim 19 , wherein the repeatable event is selected from the group consisting of a steady-state, a post prandial rise, a daily high-low glucose spread, a decay rate, and a rate of change.

21. The system of claim 19 , wherein the processor is further configured to detect, after correlating, the occurrence of a second repeatable event, the second repeatable event different than the first repeatable event, after; and wherein the processor is further configured to recalibrate the analyte concentration sensor by correlating a sensor reading when the biological system is at the detected second repeatable event to the known analyte concentration value.

22. The system of claim 21 , wherein the processor is configured such that recalibrating occurs at a time when a sensor reading is substantially stable, or within a predetermined range of readings for a threshold period of time, whereby an occurrence of unexpected jumps in readings is reduced.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 26, 2017
From: GARCIA, ARTURO; SIMPSON, PETER C.; KAMATH, APURV ULLAS; BHAVARAJU, NARESH C.; VANSLYKE, STEPHEN J.
To: DEXCOM, INC.
Reel/Frame 042152/0347 →
Continuity (3)
Continuation PCTUS2016050814 · Sep 8, 2016
Provisional Application 62216926 · Sep 10, 2015
Related Publication 20170074757A1 · Mar 16, 2017
Cited By (2)
US 12,295,698 US 12,436,160