Method and Apparatus for Providing Data Processing and Control in a Medical Communication System

• US 20170188909A1
• Filed: 03/16/2017
• Published: 07/06/2017
• Est. Priority Date: 05/14/2007
• Status: Abandoned Application

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Mazza, John Charles, Feldman, Benjamin Jay, Hayter, Gary Alan, McGarraugh, Geoffrey V., Naegeli, Andrew H.
• Application Number:
  US15/461,459
• Publication Number:
  US 20170188909A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• 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 5/1473 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 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• 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: G01D 18/008 with calibration coefficients stored in memory
• CPC Class Codes: G01N 33/48 Biological material, e.g. blood, urine G01N33/02, G01N33/26, G01N33/44, G01N33/46 take precedence; Haemocytometers counting blood corpuscules distributed over a surface by scanning the surface G06M11/02
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• 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: 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. (canceled)

2. A method for calibrating sensor data generated by a continuous analyte sensor, comprising:

generating sensor data using a continuous analyte sensor;

iteratively determining, with an electronic device, a sensitivity value of the continuous analyte sensor by applying a priori information comprising a sensitivity profile, wherein the sensitivity profile is a function of time, wherein the sensitivity profile comprises an initial sensitivity value associated with a correlation between a sensitivity determined from in vitro analyte concentration measurements and a sensitivity determined from in vivo analyte concentration measurements; and

calibrating the sensor data based at least in part on the determined sensitivity value.

3. The method of claim 2, wherein the a priori information is associated with a calibration code.

4. The method of claim 2, wherein the a priori sensitivity information is stored in the sensor electronics prior to use of the sensor.

5. The method of claim 2, wherein calibrating the sensor data is performed iteratively throughout a substantially entire sensor session.

6. The method of claim 2, wherein iteratively determining a sensitivity value is performed at regular intervals or performed at irregular intervals, as determined by the a priori information.

7. The method of claim 2, wherein iteratively determining a sensitivity value is performed throughout a substantially entire sensor session.

8. The method of claim 2, wherein determining a sensitivity value is performed in substantially real time.

9. The method of claim 2, wherein the sensitivity value of the continuous analyte sensor is also a function of a second parameter that is not time.

10. The method of claim 9, wherein the third parameter is selected from the group consisting of:

temperature or an analyte concentration of a fluid surrounding the continuous analyte sensor during startup of the sensor, and combinations thereof.

11. The method of claim 2, wherein calibrating the sensor data is performed without using reference blood glucose data.

12. The method of claim 2, further comprising receiving at least one calibration code, wherein the calibration code is associated with the sensitivity profile;

and

applying the at least one calibration code to the electronic device at a predetermined time after start of the sensor session.

13. The method of claim 2, wherein the sensitivity profile is a function of a parameter associated with fabrication of the sensor.