Method and system for providing analyte monitoring

• US 9,113,828 B2
• Filed: 07/09/2012
• Issued: 08/25/2015
• 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.
• Primary Examiner(s): Natnithithadha, Navin
• Application Number:
  US13/544,946
• Publication Number:
  US 20120277565A1
• Time in Patent Office: 1,142 Days
• US Class Current: 1/1
• 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 glucose monitoring system, comprising:

an in vivo glucose sensor;

sensor electronics that generates glucose data corresponding to a monitored glucose level based on signals received from the in vivo glucose sensor; and

a glucose data processing unit that determines noise filtered glucose data based on stored noise filtered estimates of the glucose data received from the sensor electronics, that identifies dropouts in the noise filtered glucose data over a predetermined time period, and that compensates for the identified dropouts in the noise filtered glucose data over the predetermined time period to increase accuracy of the generated glucose data, the glucose data processing unit further including an output unit to output information corresponding to the noise filtered glucose data over the predetermined time period.

2. The system of claim 1, wherein the glucose data processing unit includes a filter that clips the dropout compensated noise filtered glucose signals to be within a predetermined range.

3. The system of claim 2, wherein the clipped dropout compensated noise filtered glucose signals are not less than the noise filtered signals.

4. The system of claim 2, wherein the clipped dropout compensated noise filtered glucose signals are not greater than a predetermined safety multiple of the noise filtered signals.

5. The system of claim 1, wherein the glucose data processing unit identifies dropouts in the noise filtered glucose data over the predetermined time period based on a positive spike in the glucose data rate of change that exceeds a predetermined threshold.

6. The system of claim 1, wherein the glucose data processing unit determines a fast rate estimate and a slow rate estimate based on the stored noise filtered estimates of the glucose data to identify dropouts in the noise filtered glucose data.

7. The system of claim 6, wherein spikes in the fast rate estimate and the slow rate estimate are associated with dropouts in the noise filtered glucose data.

8. The system of claim 1, wherein the glucose data processing unit includes an infusion device.

9. The system of claim 8, wherein the infusion device determines a medication therapy profile based on the glucose data from the in vivo glucose sensor.

10. The system of claim 6, wherein the glucose data processing unit includes a data computing device.

11. The system of claim 1, wherein the sensor electronics communicates the generated glucose data to the glucose data processing unit over a wireless communication link.

12. The system of claim 1, wherein the sensor electronics communicates the generated glucose data to the glucose data processing unit using Bluetooth communication protocol.