Method and apparatus for providing data processing and control in a medical communication system

• US 9,483,608 B2
• Filed: 05/20/2013
• Issued: 11/01/2016
• Est. Priority Date: 05/14/2007
• Status: Expired due to Fees

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories)
• Inventors: Hayter, Gary Alan, McGarraugh, Geoffrey V.
• Primary Examiner(s): Cheng, Jacqueline
• Assistant Examiner(s): Portillo, Jairo
• Application Number:
  US13/898,139
• Publication Number:
  US 20130253846A1
• Time in Patent Office: 1,261 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0219 of externally powered implanted units
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0295 Strip shaped analyte sensors for apparatus classified in A61B5/145 or A61B5/157
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• 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 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1473 invasive, e.g. introduced into the body by a catheter A61B5/1482 takes precedence
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/6849 in combination with a needle set
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16B 99/00 Subject matter not provided for in other groups of this subclass
• 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 apparatus for providing data processing and control for use in a medical communication system are provided.

Claims

1. A method performed using one or more processors, the method comprising:

determining a first filtered value associated with received analyte related data based on a first predetermined time period and the received analyte related data;

determining a second filtered value associated with the received analyte related data based on a second predetermined time period and the received analyte related data;

determining a variance in a rate of change of an analyte level;

generating a weighted average value based on the first filtered value, the second filtered value, a weighting function, and the determined variance in the rate of change of the analyte level;

determining a third filtered value associated with the received analyte related data based at least in part on the weighted average value and a predetermined parameter;

modifying the weighting function based upon the third filtered value; and

controlling administration of therapy based on the determined third filtered value.

2. The method of claim 1, wherein the first predetermined time period is greater than the second predetermined time period.

3. The method of claim 1, wherein the weighted average value is based at least in part on a relative weighting parameter associated with each of the first filtered value and the second filtered value.

4. The method of claim 3, wherein the weighted average value is based at least in part on the rate of change of the analyte level.

5. The method of claim 3, wherein the relative weighting parameter associated with the first filtered value is different from the relative weighting parameter associated with the second filtered value.

6. The method of claim 3, wherein the relative weighting parameter is varied in proportion to the rate of change of the analyte level.

7. The method of claim 1, wherein determining the third filtered value includes performing a rate variance filtering based on one or more of the first filtered value, the second filtered value, the rate of change of the analyte level, or the predetermined parameter.

8. The method of claim 7, wherein the rate variance filtering is proportional to the rate of change of the analyte level.

9. The method of claim 1, wherein determining the variance in the rate of change of the analyte level includes determining a standard deviation of the rate of change of the analyte level based on the received data.

10. An apparatus, comprising:

a data processing unit; and

a memory operatively coupled to the data processing unit and for storing instructions which, when executed by the data processing unit, causes the data processing unit to determine a first filtered value associated with received analyte related data based on a first predetermined time period and the received analyte related data, determine a second filtered value associated with the received analyte related data based on a second predetermined time period and the received analyte related data, determine a variance in a rate of change of an analyte level, generate a weighted average value based on the first filtered value, the second filtered value, a weighting function, and the determined variance in the rate of change of the analyte level, determine a third filtered value associated with the received analyte related data based at least in part on the weighted average value and a predetermined parameter, modify the weighting function based upon the third filtered value, and to control administration of therapy based on the determined third filtered value.

11. The apparatus of claim 10, wherein the first predetermined time period is greater than the second predetermined time period.

12. The apparatus of claim 10, wherein the weighted average value is based at least in part on a relative weighting parameter associated with each of the first filtered value and the second filtered value.

13. The apparatus of claim 12, wherein the relative weighting parameter associated with the first filtered value is different from the relative weighting parameter associated with the second filtered value.

14. The apparatus of claim 12, wherein the relative weighting parameter is varied in proportion to the rate of change of the analyte level.

15. The apparatus of claim 10, wherein the weighted average value is based at least in part on the rate of change of the analyte level.

16. The apparatus of claim 10, wherein the memory operatively coupled to the data processing unit and for storing instructions which, when executed by the data processing unit, causes the data processing unit to perform a rate variance filtering based on one or more of the first filtered value, the second filtered value, the rate of change of the analyte level, or the predetermined parameter to determine the third filtered value.

17. The apparatus of claim 16, wherein the rate variance filtering is proportional to the rate of change of the analyte level.

18. The apparatus of claim 10, wherein the memory operatively coupled to the data processing unit and for storing instructions which, when executed by the data processing unit, causes the data processing unit to determine a standard deviation of the rate of change of the analyte level based on the received data to determine the variance in the rate of change of the analyte level.