Software Applications Residing on Handheld Analyte Determining Devices

• US 20140088393A1
• Filed: 12/21/2011
• Published: 03/27/2014
• Est. Priority Date: 02/11/2011
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Bernstein, Daniel M., Bradrick, Brittany K., Budiman, Erwin S., Davis, Eric, Dunn, Timothy C., Gopal, Mani, Hayter, Gary A., Scott, Steve, Winkler, Todd, Wolpert, Howard, Harper, Wesley S.
• Granted Patent: US 9,913,599 B2
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.

Claims

1-22. -22. (canceled)

23. A diabetes management system, comprising:

an analyte meter having one or more computer-readable storage medium having instructions executable by at least one processing device that, when executed, cause the processing device to determine a data storage and/or measurement schedule based on instantaneous glucose information and glucose rate of change information.

24. The diabetes management system of claim 23, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to estimate a time interval wherein glucose concentration will change by a predetermined amount from a current value.

25. The diabetes management system of claim 24, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to place an upper and/or lower limit on the time interval.

26. The diabetes management system of claim 23, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to communicate a reminder to a user of the system to take a glucose measurement.

27. The diabetes management system of claim 23, wherein the data storage and/or measurement schedule is determined based on instantaneous glucose information, glucose rate of change information and historical patient glucose data.

28. The diabetes management system of claim 27, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize an AutoRegressive (AR) model.

29. The diabetes management system of claim 27, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize polynomial fitting.

30. The diabetes management system of claim 23, wherein the data storage and/or measurement schedule is determined based on instantaneous glucose information, glucose rate of change information, historical patient glucose data and additional information selected from insulin, exercise or other diabetes relevant parameter.

31. The diabetes management system of claim 30, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize an AutoRegressive with eXogenous input (ARX) model.

32. The diabetes management system of claim 30, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize a physiology-based glucoregulatory model.

33. The diabetes management system of claim 32, wherein the instructions executable by the at least one processing device, when executed, cause the processing device to utilize a Kalman Filter.

34-67. -67. (canceled)