SYSTEMS AND METHODS FOR LEVERAGING SMARTPHONE FEATURES IN CONTINUOUS GLUCOSE MONITORING

• US 20140012117A1
• Filed: 03/13/2013
• Published: 01/09/2014
• Est. Priority Date: 07/09/2012
• Status: Abandoned Application

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Mensinger, Michael Robert, Bhavaraju, Naresh C., Bowman, Leif N., DeRenzy, David, Garcia, Arturo, Gauba, Indrawati, Hampapuram, Hari, Mahalingam, Aarthi, Pryor, Jack, Rack-Gomer, Anna Leigh, Reihman, Eli, San Vicente, Kenneth, Simpson, Peter C., Valdes, Jorge, Estes, Michael J., Carlton, Alexandra Lynn, Hall, Ashley, Hall, Thomas, Kazalbash, Murrad, Steele, Alexander, Cohen, Eric
• Application Number:
  US13/802,237
• Publication Number:
  US 20140012117A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• 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 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: F04C 2270/041 Controlled or regulated
• CPC Class Codes: G08B 21/0453 worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• 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 40/67 for remote operation

Abstract

The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health.

Claims

1. A machine-executed method of continuous glucose monitoring for a host to facilitate management of the host'"'"'s blood glucose level, the method comprising:

displaying a blood glucose trend graph on a display of an electronic device;

receiving an input of at least one location on the trend graph;

processing the input by determining a value of the host'"'"'s glucose concentration at the at least one location; and

producing an output of the value on the display.

2. The method of claim 1, wherein the input is locations of two points on the trend graph where the electronic device has sensed a user has placed his or her fingers.

3. The method of claim 2, wherein the processing comprises determining values of glucose concentration at the two points.

4. The method of claim 3, wherein the output is a value of a difference between glucose concentration values at the two points.

5. The method of claim 3, wherein the output is a value of a rate of change of glucose concentration between the two points.

6. The method of claim 1, wherein the glucose concentration trend graph comprises a macro trend graph that displays the user'"'"'s glucose concentration data for a given length of time, and a micro trend graph that displays the user'"'"'s glucose concentration data for a segment of the time shown on the macro trend graph.

7. The method of claim 6, wherein a movable bar on the macro trend graph highlights the segment of the time on the macro trend graph that is displayed on the micro trend graph.

8. The method of claim 7, wherein the bar is movable to select any desired window of time on the macro trend graph to be displayed on the micro trend graph.

9. The method claim 7, wherein a width of the bar is adjustable to adjust a length of time displayed on the micro trend graph.

10. The method of claim 9, wherein the width of the bar is adjustable by selecting one of a plurality of time select icons displayed on the display.

11. The method claim 10, wherein if a scale of the macro trend graph is changed by a given factor, values of the time select icons change by a corresponding factor.

12. A system for continuous analyte monitoring of an analyte concentration of a host to facilitate health management of the host, the system comprising:

a hand-held computing device comprising a display, a processor and non-transitory continuous analyte monitoring instructions stored in memory of the hand-held computing device, the non-transitory continuous analyte instructions, when executed by the processor, causing the hand-held computing device to

display an analyte concentration trend graph on the display of an electronic device;

receiving an input of at least one location on the trend graph;

processing the input by determining a value of the analyte concentration at the at least one location; and

producing an output of the value on the display.

13. The system of claim 12, wherein the input is locations of two points on the trend graph where the electronic device has sensed a user has placed his or her fingers.

14. The system of claim 13, wherein the processing comprises determining values of blood glucose at the two points.

15. The system of claim 14, wherein the output is a value of a difference between analyte concentration values at the two points.

16. The system of claim 14, wherein the output is a value of a rate of change of analyte concentration between the two points.

17. The system of claim 12, wherein the analyte concentration trend graph comprises a macro trend graph that displays the user'"'"'s analyte concentration data for a given length of time, and a micro trend graph that displays the user'"'"'s analyte concentration data for a segment of the time shown on the macro trend graph.

18. The system of claim 17, wherein a movable bar on the macro trend graph highlights the segment of the time on the macro trend graph that is displayed on the micro trend graph.

19. The system of claim 18, wherein the bar is movable to select any desired window of time on the macro trend graph to be displayed on the micro trend graph.

20. The system claim 18, wherein a width of the bar is adjustable to adjust a length of time displayed on the micro trend graph, wherein the width of the bar is adjustable by selecting one of a plurality of time select icons displayed on the display, and wherein if a scale of the macro trend graph is changed by a given factor, values of the time select icons change by a corresponding factor.