TRANSCUTANEOUS ANALYTE SENSOR

• US 20070208246A1
• Filed: 04/11/2007
• Published: 09/06/2007
• Est. Priority Date: 08/01/2003
• Status: Active Grant

Abstract

The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.

Claims

1. A system for monitoring glucose concentration in a host, the system comprising:

a continuous glucose sensor configured to produce a signal indicative of a glucose concentration in a host; and

a receiver comprising an alarm, wherein the receiver is operably connected to the sensor, wherein the receiver further comprises programming configured to estimate glucose data for a future time, and wherein the receiver comprises programming further configured to trigger the alarm when the estimated glucose data for the future time is above or below at least one predetermined threshold.

2. The system of claim 1, wherein the alarm is at least one of a visual alarm, an audible alarm, and a tactile alarm.

3. The system of claim 1, wherein the predetermined threshold is user configurable.

4. The system of claim 1, wherein the future time is at least about 5 minutes in the future.

5. The system of claim 4, wherein the future time is at least about 10 minutes in the future.

6. The system of claim 5, wherein the future time is at least about 15 minutes in the future.

7. The system of claim 6, wherein the future time is at least about 20 minutes in the future.

8. The system of claim 1, wherein the receiver comprises programming further configured to calibrate the signal using a conversion function, and wherein the programming configured to estimate glucose data for a future time is configured use the conversion function to extrapolate glucose data for the future time.

9. The system of claim 8, wherein the conversion function is calculated from a linear regression.

10. The system of claim 8, wherein the conversion function is calculated from a non-linear regression.

11. The system of claim 8, wherein the conversion function is calculated from reference data obtained from a single point glucose measuring device.

12. The system of claim 11, wherein the single point glucose measuring device is built into the receiver.

13. The system of claim 1, wherein the receiver comprises programming configured to filter the signal, and wherein the estimated glucose data is calculated from the filtered signal.

14. The system of claim 1, wherein the receiver comprises programming configured to apply at least one boundary to the estimated glucose data for the future time.

15. The system of claim 14, wherein the boundary is a physiological boundary.

16. The system of claim 1, wherein the receiver further comprises a user interface, wherein the receiver comprises programming further configured to calibrate the signal, and wherein the receiver comprises programming configured to display a graphical representation of the calibrated signal and a directional arrow indicative of a direction and a rate of change of the calibrated signal on the user interface.

17. A device comprising a computer readable memory, the computer readable memory comprising code for processing data from a continuous glucose measuring device, wherein the code comprises:

instructions configured to process a signal received from a continuous glucose measuring device;

instructions configured to estimate glucose data for a future time; and

instructions configured to trigger an alarm when the estimated glucose data for the future time is above or below at least one predetermined threshold.

18. The device of claim 17, further comprising instructions configured to allow a user to modify the predetermined threshold.

19. The device of claim 17, wherein the future time is at least about 5 minutes in the future.

20. The device of claim 19, wherein the future time is at least about 15 minutes in the future.

21. The device of claim 17, further comprising instructions configured to calibrate the signal using a conversion function, and wherein the instructions configured to estimate glucose data for a future time are configured use the conversion function to extrapolate glucose data for the future time.

22. The device of claim 21, wherein the conversion function is calculated from a linear regression.

23. The device of claim 21, wherein the conversion function is calculated from a non-linear regression.

24. The device of claim 21, wherein the conversion function is calculated from reference data obtained from a single point glucose measuring device.

25. The device of claim 24, wherein the single point glucose measuring device is integral with the device.

26. The device of claim 17, further comprising instructions configured to filter the signal, and wherein the instructions configured to estimate glucose data estimate glucose data from the filtered signal.

27. The device of claim 17, further comprising instructions configured to apply at least one boundary to the estimated glucose data for the future time.

28. The device of claim 27, wherein the boundary is a physiological boundary.

29. The device of claim 17, further comprising instructions configured to calibrate the signal and instructions configured to display a graphical representation of the calibrated signal and a directional arrow indicative of a direction and a rate of change of the calibrated signal on a user interface.

30. A method for monitoring a glucose concentration in a host, the method comprising:

generating a signal from a continuous glucose measuring device indicative of a glucose concentration in a host;

processing the signal to estimate glucose data for a future time; and

alarming the host when the estimated glucose data for the future time is above or below at least one predetermined threshold.

31. The method of claim 30, wherein the step of alarming comprises providing at least one of a visual signal, an audible signal, and a tactile signal.

32. The method of claim 30, further comprising calibrating the signal using a conversion function, wherein the step of processing the signal to estimate glucose data for a future time is configured use the conversion function to extrapolate glucose data for the future time.

33. The method of claim 30, further comprising a step of filtering the signal, wherein the step of processing the signal to estimate glucose data estimates the glucose data from the filtered signal.

34. The method of claim 30, further comprising applying a boundary to the estimated glucose data for the future time.

35. The method of claim 30, further comprising calibrating the signal and displaying a graphical representation of the calibrated signal and a directional arrow indicative of a direction and a rate of change of the calibrated signal on the user interface.