Method and device for early signal attenuation detection using blood glucose measurements

• US 9,066,709 B2
• Filed: 03/17/2014
• Issued: 06/30/2015
• Est. Priority Date: 01/29/2009
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Doniger, Kenneth J., Budiman, Erwin Satrya, Hayter, Gary Alan
• Primary Examiner(s): TSAI, CAROL S W
• Application Number:
  US14/216,696
• Publication Number:
  US 20140200427A1
• Time in Patent Office: 470 Days
• Field of Search: 702/19, 702/181, 702/182, 600/300, 600/365, 600/316, 600/347, 705/2, 705/3, 703/11, 340/501
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• 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 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14865 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: G16B 40/00 ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
• CPC Class Codes: G16B 40/10 Signal processing, e.g. from mass spectrometry [MS] or from PCR
• CPC Class Codes: G16H 40/40 for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Methods and devices to detect analyte in body fluid are provided. Embodiments include receiving one or more analyte sensor data, receiving a reference measurement value associated with an analyte level, determining a sensitivity parameter based on the received one or more analyte sensor data and the reference measurement value, performing a probability analysis based on prior analyte sensor data to determine presence of signal attenuation, and generating an output value based on the probability analysis.

Claims

1. A method, comprising:

determining one or more sensitivity values based on one or more retrieved stored analyte sensor data, one or more received analyte sensor data and one or more reference measurement values;

determining a sensitivity parameter of an analyte sensor based on the determined one or more sensitivity values; and

performing a probability analysis of the determined sensitivity parameter to determine a presence of a signal attenuation condition of the analyte sensor.

2. The method of claim 1, wherein performing the probability analysis includes determining a sensor signal attenuation profile based on the determined one or more sensitivity values.

3. The method of claim 1, wherein the retrieved stored analyte sensor data includes data associated with a monitored analyte level over a predetermined time period.

4. The method of claim 1, wherein performing the probability analysis includes determining the presence or an absence of the signal attenuation condition based at least in part on the determined sensitivity parameter.

5. The method of claim 4, wherein determining the presence or the absence of the signal attenuation condition includes retrieving one or more parameters associated with signal attenuation associated with the determined sensitivity parameter.

6. The method of claim 1, further including generating an output value based on the probability analysis and comparing the output value to a predetermined threshold level.

7. The method of claim 6, further including determining the presence of the signal attenuation condition of the analyte sensor based on the comparison.

8. The method of claim 6, wherein the predetermined threshold level is adjustable.

9. The method of claim 1, wherein performing the probability analysis further includes applying a probability distribution function to the determined sensitivity parameter.

10. The method of claim 1, wherein the one or more reference measurement values include analyte data associated with a second analyte sensor.

11. The method of claim 1, wherein the one or more reference measurement values are received from a second analyte sensor.

12. An apparatus, comprising:

an analyte sensor;

a data communication interface;

one or more processors operatively coupled to the data communication interface and in signal communication with the analyte sensor; and

a memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to determine one or more sensitivity values based on one or more retrieved stored analyte sensor data, one or more received analyte sensor data and one or more reference measurement values, determine a sensitivity parameter of the analyte sensor based on the determined one or more sensitivity values, and perform a probability analysis of the determined sensitivity parameter to determine a presence of a signal attenuation condition of the analyte sensor.

13. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to determine a sensor signal attenuation profile based on the determined one or more sensitivity values to perform the probability analysis.

14. The apparatus of claim 12, wherein the one or more retrieved stored analyte sensor data includes data associated with a monitored analyte level over a predetermined time period.

15. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to determine the presence or an absence of the signal attenuation condition based at least in part on the determined sensitivity parameter to perform the probability analysis.

16. The apparatus of claim 15, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to retrieve one or more parameters associated with signal attenuation associated with the determined sensitivity parameter to determine the presence or the absence of the signal attenuation condition.

17. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to generate an output value based on the probability analysis and compare the output value to a predetermined threshold level.

18. The apparatus of claim 17, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to determine the presence of the signal attenuation condition of the analyte sensor based on the comparison.

19. The apparatus of claim 18, wherein the predetermined threshold level is adjustable.

20. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to apply a probability distribution function to the determined sensitivity parameter to perform the probability analysis.