Method and apparatus for providing data processing and control in a medical communication system
Methods for data processing and control for a medical communication system are provided, including determining a sensitivity value for each sensor of a batch of in vivo analyte sensors; determining a sensitivity variation for each sensor of the batch; determining a mean sensitivity based on the sensitivity value determined for each sensor of the batch when it is determined that the determined sensitivity variation does not exceed a tolerance threshold level; associating a sensor code with each sensor of the batch of in vivo analyte sensors when the mean sensitivity is within a predetermined sensitivity range, wherein the sensor code associated with each sensor is based on a characteristic of the associated sensor; and storing the sensor code associated with at least one sensor of the batch configured to generate signals corresponding to monitored analyte level in a memory of a data processing device associated with the sensor.
1. A method, comprising:
determining a sensitivity value for each sensor of a batch of in vivo analyte sensors;
determining a sensitivity variation for each sensor of the batch of in vivo analyte sensors;
determining a mean sensitivity based on the sensitivity value determined for each sensor of the batch of in vivo analyte sensors when it is determined that the determined sensitivity variation does not exceed a tolerance threshold level;
associating a sensor code with each sensor of the batch of in vivo analyte sensors when the mean sensitivity is within a predetermined sensitivity range, wherein the sensor code associated with each sensor of the batch of in vivo analyte sensors is based on a characteristic of the associated sensor; and
storing the sensor code associated with at least one sensor of the batch of in vivo analyte sensors configured to generate signals corresponding to monitored analyte level in a memory of a data processing device associated with the sensor.
2. The method of claim 1 , wherein the analyte of the in vivo analyte sensors is one of glucose or lactate.
3. The method of claim 1 , wherein the sensor code associated with each sensor of the batch of in vivo analyte sensors is based on a sensitivity of the sensor, and wherein the sensor code corresponds to a sensitivity range.
4. The method of claim 1 , further comprising labeling a sensor packaging for the batch of in vivo analyte sensors with the sensor code.
5. The method of claim 1 , further comprising performing a retrospective analyte level determination using the sensor code.
6. The method of claim 1 , wherein each analyte sensor of the batch of in vivo analyte sensors comprises a plurality of electrodes including a working electrode comprising an analyte-responsive enzyme bonded to a polymer disposed on the working electrode.
7. The method of claim 6 , wherein the analyte-responsive enzyme is chemically bonded to the polymer disposed on the working electrode.
8. The method of claim 6 , wherein the working electrode comprises a mediator bonded to the polymer disposed on the working electrode.
9. The method of claim 8 , wherein the mediator is crosslinked with the polymer disposed on the working electrode.
10. The method of claim 1 , wherein each analyte sensor of the batch of in vivo analyte sensors comprises a plurality of electrodes including a working electrode comprising a mediator bonded to a polymer disposed on the working electrode.
11. A method, comprising:
determining a sensitivity value for each sensor of a batch of in vivo analyte sensors;
determining a sensitivity variation for each sensor of the batch of in vivo analyte sensors;
determining a mean sensitivity based on the sensitivity value determined for each sensor of the batch of in vivo analyte sensors when it is determined that the determined sensitivity variations each do not exceed a tolerance threshold level;
associating a sensor code with each sensor of the batch of in vivo analyte sensors when the mean sensitivity is within a predetermined sensitivity range;
generating signals corresponding to a monitored analyte level of a user using at least one sensor of the batch of in vivo analyte sensors; and
storing the sensor code associated with the at least one sensor of the batch of in vivo analyte sensors configured to generate the signals corresponding to the monitored analyte level in a memory of a data processing device associated with the sensor.
12. The method of claim 11 , wherein the analyte of the in vivo analyte sensors is one of glucose or lactate.
13. The method of claim 11 , wherein the sensor code corresponds to the predetermined sensitivity range.
14. The method of claim 11 , further comprising determining, using the data processing device and the sensor code, an updated sensitivity for the at least one sensor of the batch of in vivo analyte sensors; and calibrating, using the data processing device and the updated sensitivity, the generated signals to obtain the monitored analyte level.
15. The method of claim 14 , further comprising performing a retrospective analyte level determination using the updated sensitivity.
16. The method of claim 11 , wherein each analyte sensor of the batch of in vivo analyte sensors comprises a plurality of electrodes including a working electrode comprising an analyte-responsive enzyme bonded to a polymer disposed on the working electrode.
17. The method of claim 16 , wherein the analyte-responsive enzyme is chemically bonded to the polymer disposed on the working electrode.
18. The method of claim 16 , wherein the working electrode comprises a mediator bonded to the polymer disposed on the working electrode.
19. The method of claim 18 , wherein the mediator is crosslinked with the polymer disposed on the working electrode.
20. The method of claim 11 , wherein each analyte sensor of the batch of in vivo analyte sensors comprises a plurality of electrodes including a working electrode comprising a mediator bonded to a polymer disposed on the working electrode.