Systems and methods for processing sensor data
Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.
1. A method for processing continuous glucose sensor data, the method comprising:
receiving sensor data from a continuous glucose sensor, wherein the sensor data comprises one or more sensor data points;
obtaining an estimated sensor glucose value from the one or more sensor data points;
determining, using a processor module, a predicted amount of time to hypoglycemia or a predicted amount of time to hyperglycemia, wherein the determining is based at least in part on the estimated sensor glucose value and a glucose value threshold; and
programmatically producing, using the processor module, insulin delivery and/or insulin therapy instructions based at least in part on one or both of: a) the predicted amount of time to hyperglycemia meeting a criterion, and b) the predicted amount of time to hypoglycemia meeting a criterion, wherein the produced insulin delivery and/or insulin therapy instructions are usable to automate control of an insulin delivery device to automatically administer insulin.
2. The method of claim 1 , wherein the glucose threshold is user selectable.
3. The method of claim 1 , further comprising displaying the predicted amount of time on a user interface.
4. The method of claim 3 , wherein displaying the predicted amount of time is determined to be performed only when the predicted time is less than a predetermined amount of time.
5. The method of claim 1 , further comprising calculating at least two rate of change values; and filtering the at least two rate of change values to obtain a filtered rate of change value.
6. The method of claim 5 , wherein the at least two rate of change values are point-to-point rate of change values.
7. The method of claim 5 , wherein the predicted amount of time is further based on the filtered rate of change value.
8. The method of claim 5 , further comprising determining an insulin therapy based at least in part on the filtered rate of change value.
9. The method of claim 5 , wherein the filtering to obtain a filtered rate of change value is performed continuously.
10. The method of claim 5 , wherein the filtering to obtain a filtered rate of change value is not performed when a level of noise is above a noise threshold.
11. The method of claim 5 , further comprising displaying a trend arrow representative of the filtered rate of change values.
12. The method of claim 1 , further comprising triggering a predicted hypoglycemia alarm based on the predicted amount of time to hyperglycemia meeting a criterion.
13. The method of claim 1 , further comprising triggering a predicted hyperglycemia alarm based on the predicted amount of time to hypoglycemia meeting a criterion.
14. The method of claim 1 , further comprising using the insulin delivery device to automatically administer insulin based on the produced insulin delivery and/or insulin therapy instructions.
15. A system for processing continuous glucose sensor data, the system comprising:
a continuous glucose sensor configured to generate sensor data associated with glucose concentration in a host; and
a computer system comprising programming configured to obtain an estimated sensor glucose value and determine a predicted amount of time to hypoglycemia or a predicted amount of time to hyperglycemia, wherein the predicted amount of time is based at least in part on the estimated sensor glucose value and a glucose threshold, and wherein the programming is further configured to produce insulin delivery and/or insulin therapy instructions based at least in part on one or both of: a) a determination that the predicted amount of time to hypoglycemia meets a criterion, and b) a determination that the predicted amount of time to hyperglycemia meets a criterion, wherein the produced insulin delivery and/or insulin therapy instructions are usable to automate control of an insulin delivery device to automatically administer insulin.
16. The system of claim 15 , wherein the glucose threshold is user selectable.
17. The system of claim 15 , wherein the computer system is configured to display the predicted amount of time on a user interface.
18. The system of claim 17 , wherein the computer system is configured to display the predicted amount of time only when the predicted amount of time is less than a predetermined amount of time.
19. The system of claim 15 , wherein the computer system is incorporated in a hand-held device.
20. The system of claim 15 , wherein the computer system is incorporated in sensor electronics configured to be physically coupled to the continuous glucose sensor.
21. The system of claim 15 , wherein the programming is further configured to calculate at least two rate of change values and filter the at least two rate of change values to obtain a filtered rate of change value.
22. The system of claim 21 , wherein the at least two rate of change values are point-to-point rate of change values.
23. The system of claim 21 , wherein the computer system determines an insulin therapy based at least in part on the filtered rate of change value.
24. The system of claim 21 , wherein computer system continuously filters the at least two rate of change values to obtain a filtered rate of change value.
25. The system of claim 21 , wherein the computer system displays a trend arrow representative of the filtered rate of change values.
26. The system of claim 21 , wherein the computer system filters the at least two rate of change values to obtain a filtered rate of change value only when a level of noise is below a threshold.
27. The method of claim 21 , wherein the predicted amount of time is further based on the filtered rate of change value.
28. The system of claim 15 , wherein the programming is further configured to trigger a predicted hypoglycemia alarm based on the predicted amount of time to hyperglycemia meeting a criterion.
29. The system of claim 15 , wherein the programming is further configured to trigger a predicted hyperglycemia alarm based on the predicted amount of time to hypoglycemia meeting a criterion.
30. The system of claim 15 , further comprising the insulin delivery device configured to automatically administer insulin based on the produced insulin delivery and/or therapy instructions.