System and methods for processing analyte sensor data
Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
1. A method for evaluating a calibration of an analyte sensor, the method comprising:
receiving sensor data from an analyte sensor, during a time period of continuous analyte sensing of a host, including one or more sensor data points;
receiving reference data, during the time period of continuous analyte sensing of the host, including one or more reference data points;
providing one or more matched data pairs by matching a reference data point to a substantially time corresponding sensor data point;
forming a calibration set including the one or more matched data pairs;
evaluating, during the time period of continuous analyte sensing of the host, a clinical acceptability of the one or more matched data pairs, wherein the clinical acceptability is based at least in part on a clinical error grid analysis; and
processing the sensor data in response to the clinical acceptability of the one or more matched data pairs meeting a criterion.
2. The method of claim 1 , wherein receiving sensor data comprises receiving sensor data that has been smoothed.
3. The method of claim 1 , wherein receiving sensor data comprises smoothing the sensor data.
4. The method of claim 1 , wherein the sensor data is recursively filtered.
5. The method of claim 1 , wherein receiving sensor data comprises receiving the sensor data from a substantially continuous glucose sensor.
6. The method of claim 1 , wherein receiving reference data comprises receiving reference data from an in vitro blood glucose test.
7. The method of claim 1 , wherein receiving reference data comprises downloading reference data via a wireless connection.
8. The method of claim 1 , wherein receiving reference data comprises receiving within a receiver an internal communication from a reference analyte monitor integral with the receiver.
9. The method of claim 1 , wherein the calibration set comprises a single matched data pair.
10. The method of claim 1 , wherein the calibration set comprises a plurality of matched data pairs.
11. The method of claim 1 , wherein the clinical error grid analysis comprises a Clarke Error Grid or a Consensus Grid analysis.
12. The method of claim 1 , wherein processing the sensor data comprises calibrating the sensor data.
13. The method of claim 1 , wherein processing the sensor data comprises displaying the sensor data.
14. The method of claim 1 , further comprising requesting additional reference data in response to the clinical acceptability not meeting a criterion.
15. The method of claim 1 , further comprising modifying the calibration set based on the additional received reference data.
16. The method of claim 1 , further comprising removing a most discordant or oldest matched data pair in response to the clinical acceptability not meeting a criterion.
17. A computer system for evaluating a calibration of an analyte sensor, the method comprising:
a sensor data receiving module configured to receive, during a time period of continuous analyte sensing of a host, a data stream comprising one or more sensor data points;
a reference data receiving module configured to receive, during the time period of continuous analyte sensing of the host, reference data, including one or more reference data points;
a data matching module configured to form one or more matched data pairs by matching one or more reference data points to one or more substantially time corresponding sensor data points;
a calibration set module configured to form a calibration set including the one or more matched data pairs;
an evaluation module configured to evaluate, during the time period of continuous analyte sensing of the host, a clinical acceptability of the one or more matched data pairs, wherein the clinical acceptability is based at least in part on a clinical error grid analysis; and
a processor module configured to process the sensor data in response to the clinical acceptability of the one or more matched data pairs meeting a criterion.
18. The computer system of claim 17 , wherein reference data receiving module is configured to receive sensor data that has been smoothed.
19. The computer system of claim 17 , wherein the reference data receiving module is configured to smooth the sensor data.
20. The computer system of claim 17 , wherein the sensor data is recursively filtered.
21. The computer system of claim 17 , wherein the reference data receiving module is configured to receive the sensor data from a substantially continuous glucose sensor.
22. The computer system of claim 17 , wherein reference data receiving module is configured to receive the reference data from an in vitro blood glucose test.
23. The computer system of claim 17 , wherein reference data receiving module is configured to download the reference data via a wireless connection.
24. The computer system of claim 17 , wherein reference data receiving module is configured to receive within a receiver an internal communication from a reference analyte monitor integral with the receiver.
25. The computer system of claim 17 , wherein the calibration set comprises a single matched data pair.
26. The computer system of claim 17 , wherein the calibration set comprises a plurality of matched data pairs.
27. The computer system of claim 17 , wherein the clinical error grid analysis comprises a Clarke Error Grid or a Consensus Grid analysis.
28. The computer system of claim 17 , wherein the processor module is configured to calibrate the sensor data in response to the clinical acceptability meeting a criterion.
29. The computer system of claim 17 , wherein the processor module is configured to display the sensor data in response to the clinical acceptability meeting a criterion.
30. The computer system of claim 17 , wherein the evaluation module is configured to request additional reference data in response to the clinical acceptability meeting a criterion.
31. The computer system of claim 17 , wherein the evaluation module or the calibration set module is configured to add a matched data pair to the calibration set based on the additional received reference data in response to the clinical acceptability meeting a criterion.
32. The computer system of claim 17 , wherein the evaluation module or the calibration set module is configured to remove a most discordant or oldest matched data pair in response to the clinical acceptability meeting a criterion.