Method and System for Providing Analyte Monitoring

• US 20090281407A1
• Filed: 07/20/2009
• Published: 11/12/2009
• Est. Priority Date: 10/25/2006
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Budiman, Erwin S.
• Granted Patent: US 8,216,137 B2
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/14503 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1468 using chemical or electrochemical methods, e.g. by polarographic means A61B5/1486 takes precedence
• CPC Class Codes: A61B 5/1473 invasive, e.g. introduced into the body by a catheter A61B5/1482 takes precedence
• CPC Class Codes: A61B 5/1486 using enzyme electrodes, e.g. with immobilised oxidase
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Methods and apparatuses for determining an analyte value are disclosed.

Claims

1. A method, comprising:

monitoring a data stream associated with an analyte level;

generating a noise-filtered signal associated with the data stream;

detecting a presence of a signal dropout based on the noise filtered signal; and

estimating a noise filtered dropout compensated signal based on the noise filtered signal and the determination of the presence of the signal dropout;

wherein generating the noise filtered signal is based on one or more previous noise filtered signals.

2. The method of claim 1 wherein estimating the noise filtered dropout compensated signal includes determining a variation between the detected signal dropout and the generated noise filtered signal.

3. The method of claim 1 wherein estimating the noise filtered dropout compensated signal includes subtracting the detected signal dropout and the generated noise filtered signal.

4. The method of claim 1 wherein generating the noise filtered signal includes applying a filter to the data stream.

5. The method of claim 1 wherein generating the noise filtered signal includes applying a weighted average function to the data stream.

6. The method of claim 1 further including outputting the noise filtered dropout compensated signal, and wherein outputting the noise filtered dropout compensated signal includes providing an indication associated with the noise filtered signal.

7. The method of claim 1 including transmitting one or more of the monitored data stream, the noise filtered signal, the detected signal dropout, or the noise filtered dropout compensated signal.

8. The method of claim 7 wherein transmitting includes wirelessly transmitting the one or more of the monitored data stream, the noise filtered signal, the detected signal dropout, or the noise filtered dropout compensated signal.

9. The method of claim 7 wherein the one or more of the monitored data stream, the noise filtered signal, the detected signal dropout, or the noise filtered dropout compensated signal are transmitted to a remote location.

10. The method of claim 1 wherein monitoring the data stream includes detecting one or more signals from an analyte sensor.

11. The method of claim 10 wherein the analyte sensor includes a glucose sensor.

12. The method of claim 1 including receiving a reference measurement data.

13. The method of claim 12 wherein the reference measurement data includes a blood glucose measurement data.

14. The method of claim 12 including calibrating the noise filtered dropout compensated signal based on the received reference measurement data.

15. An apparatus, comprising:

one or more processors; and

a memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to monitor a data stream associated with an analyte level, to generate a noise filtered signal associated with the data stream based on one or more previous noise filtered signals, to detect a presence of a signal dropout based on the noise filtered signal, and to estimate a noise filtered dropout compensated signal based on the noise filtered signal and the determination of the presence of the signal dropout.

16. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to determine a variation between the detected signal dropout and the generated noise filtered signal.

17. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to subtract the detected signal dropout and the generated noise filtered signal.

18. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to apply a filter to the data stream.

19. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to apply a weighted average function to the data stream.

20. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to output the noise filtered dropout compensated signal.

21. The apparatus of claim 20 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to provide an indication associated with the noise filtered signal.

22. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to transmit one or more of the monitored data stream, the noise filtered signal, the detected signal dropout, or the noise filtered dropout compensated signal.

23. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to detect one or more signals from an analyte sensor.

24. The apparatus of claim 23 wherein the analyte sensor includes a glucose sensor.

25. The apparatus of claim 15 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to receive a reference measurement data.

26. The apparatus of claim 25 wherein the reference measurement data includes a blood glucose measurement data.

27. The apparatus of claim 25 wherein the memory configured for storing instructions which, when executed by the one or more processors, causes the one or more processors to calibrate the noise filtered dropout compensated signal based on the received reference measurement data.