Transcutaneous analyte sensor
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.
1. A method of processing data from a glucose sensor, the method comprising:
receiving sensor data from a glucose sensor, the data comprising at least one sensor data point;
intermittently or continuously measuring a signal noise, using system electronics, to determine an aberrancy of the sensor data by comparing the at least one sensor data point with at least one substantially time-corresponding filtered sensor data point, wherein an aberrancy is determined when an amplitude of the signal noise exceeds a threshold; and
processing the sensor data, using the system electronics, wherein the processing is responsive to whether an aberrancy is determined.
2. The method of claim 1 , further comprising at least one of:
1) receiving at least one filtered sensor data point from the glucose sensor, or
2) filtering the at least one sensor data point from the glucose sensor to generate the at least one filtered sensor data point.
3. The method of claim 2 , wherein comparing the at least one sensor data point with the at least one filtered substantially time-corresponding sensor data point provides at least one residual value.
4. The method of claim 1 , wherein processing the sensor data comprises displaying at least one of a numeric estimated analyte value, an indication of directional trend of analyte concentration, or a graphical representation of the estimated analyte data over a period of time responsive to the determination of aberrancy.
5. The method of claim 1 , wherein processing the sensor data comprises suspending display of the at least one sensor data point if an aberrancy is determined.
6. The method of claim 1 , wherein the received sensor data comprises an unfiltered digital signal.
7. The method of claim 1 , wherein the at least one sensor data point comprises an integrated digital data point.
8. The method of claim 1 , wherein the system electronics comprise one or more components selected from the group consisting of sensor electronics, receiver electronics, and external device electronics.
9. A method of processing data from a glucose sensor, the method comprising:
receiving sensor data from a glucose sensor, the data comprising at least one sensor data point;
intermittently or continuously measuring a signal noise, using system electronics, to determine an aberrancy of the sensor data by comparing the at least one sensor data point with at least one substantially time-corresponding filtered sensor data point, wherein an aberrancy is determined when the signal noise exceeds a threshold; and
displaying a data point indicative of the at least one sensor data point if an aberrancy is not determined.
10. The method of claim 9 , wherein the system electronics comprise one or more components selected from the group consisting of sensor electronics, receiver electronics, and external device electronics.
11. The method of claim 9 , wherein the value of the data point indicative of the at least one sensor data point is a calibrated value of the at least one sensor data point.
12. A method of processing data from a glucose sensor, the method comprising:
receiving sensor data from a glucose sensor, the data comprising at least one sensor data point;
intermittently or continuously measuring a signal noise, using system electronics, to determine an aberrancy of the sensor data by comparing the at least one sensor data point with at least one substantially time-corresponding filtered sensor data point, wherein an aberrancy is determined when the signal noise exceeds a threshold; and
displaying a data point indicative of the at least one filtered sensor data point if an aberrancy is determined.
13. The method of claim 12 , wherein the system electronics comprise one or more components selected from the group consisting of sensor electronics, receiver electronics, and external device electronics.
14. The method of claim 12 , wherein the value of the data point indicative of the at least one filtered sensor data point is a calibrated value of the at least one sensor data point.
15. A system for analyzing data from a glucose sensor, the system comprising:
an input module configured to receive sensor data from a glucose sensor, the data comprising at least one sensor data point;
a processor module configured to intermittently or continuously measure a signal noise to determine an aberrancy of the sensor data by comparing the at least one sensor data point with at least one substantially time-corresponding filtered sensor data point, wherein an aberrancy is determined when an amplitude of the signal noise exceeds a threshold, and wherein the processor module processes the sensor data responsive to whether an aberrancy is determined.
16. The system of claim 15 , wherein the processor module is configured to compare the at least one sensor data point with the at least one substantially time-corresponding filtered sensor data point to obtain at least one residual value to determine the signal noise.
17. The system of claim 15 , wherein the processor data module is further configured to output at least one of a numeric estimated analyte value, an indication of directional trend of analyte concentration, or a graphical representation of the estimated analyte data over a period of time responsive to the determination of aberrancy.
18. The system of claim 17 , wherein the processor module is configured to suspend display of the at least one sensor data point if an aberrancy is determined.
19. The system of claim 15 , wherein the received sensor data comprises an unfiltered digital signal.
20. The system of claim 15 , wherein the at least one sensor data point comprises an integrated digital data point.
21. A system for analyzing data from a glucose sensor, the system comprising:
an input module configured to receive sensor data from a glucose sensor, the data comprising at least one sensor data point;
a processor module configured to intermittently or continuously measure a signal noise to determine an aberrancy of the sensor data by comparing the at least one sensor data point with at least one substantially time-corresponding filtered sensor data point, wherein an aberrancy is determined when the signal noise exceeds a threshold, and wherein the processor module is configured to initiate display of a data point indicative of the at least one sensor data point if an aberrancy is not determined.
22. The method of claim 21 , wherein the value of the data point indicative of the at least one filtered sensor data point is a calibrated value of the at least one sensor data point.
23. A system for analyzing data from a glucose sensor, the system comprising:
an input module configured to receive sensor data from a glucose sensor, the data comprising at least one sensor data point;
a processor module configured to intermittently or continuously measure a signal noise to determine an aberrancy of the sensor data by comparing the at least one sensor data point with at least one substantially time-corresponding filtered sensor data point, wherein an aberrancy is determined when the signal noise exceeds a threshold, and wherein the processor module is configured to initiate display of a data point indicative of the at least one filtered sensor data point if an aberrancy is determined.
24. The method of claim 23 , wherein the value of the data point indicative of the at least one filtered sensor data point is a calibrated value of the at least one sensor data point.