Computer Implemented Methods For Visualizing Correlations Between Blood Glucose Data And Events And Apparatuses Thereof

• US 20140068487A1
• Filed: 09/05/2012
• Published: 03/06/2014
• Est. Priority Date: 09/05/2012
• Status: Abandoned Application

• Current Assignee: Roche Diabetes Care Inc. (Roche Holding AG)
• Original Assignee: Roche Diagnostics Operations Incorporated (Roche Holding AG)
• Inventors: Steiger, Bernd, Schmitz, Ralf
• Application Number:
  US13/603,853
• Publication Number:
  US 20140068487A1
• Time in Patent Office: Days
• US Class Current: 715/771
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• 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 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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 visualizing correlations between blood glucose data and events are disclosed. The methods and apparatus can include presenting an event analysis window on a display communicatively coupled to one or more processors. The event analysis window can include an event type control positioned within the event analysis window and a graphical window positioned within the event analysis window. A plurality of continuous glucose monitoring traces can be plotted within the graphical window. Bolus icons each indicative of a bolus amount and a bolus time can be presented within the event analysis window. Each of the bolus icons can include a bolus indication object that is aligned with the bolus ordinate axis within the graphical window, a bolus time indication object that is aligned with the time abscissa axis within in the graphical window, and a bolus symbol that is presented outside of the graphical window.

Claims

1. A computer-implemented method for visualizing correlations between blood glucose data and events, comprising:

presenting by one or more processors automatically an event analysis window on a display communicatively coupled to one or more processors, the event analysis window comprising an event type control positioned within the event analysis window and an graphical window positioned within the event analysis window, wherein the graphical window comprises a time abscissa axis that defines time units within the graphical window, a glucose ordinate axis that defines glucose units within the graphical window, and a bolus ordinate axis that defines bolus units within the graphical window;

receiving by the one or more processors event selection input via the event type control, wherein the event selection input is indicative of an event type associated with a plurality of event instances each being associated with an event time;

defining a reference time along the time abscissa axis of the graphical window;

segmenting by the one or more processors automatically a plurality of blood glucose values associated with a monitoring time period into a plurality of continuous glucose monitoring traces each indicative of blood glucose values, wherein each of the plurality of continuous glucose monitoring traces span a time segment of the monitoring time period such that the time segment is coincident with the event time of one of the plurality of event instances;

plotting by the one or more processors automatically the plurality of continuous glucose monitoring traces within the graphical window, wherein the plurality of continuous glucose monitoring traces are scaled according to the glucose ordinate axis and the time abscissa axis, and the time segment is normalized to and aligned with the reference time; and

presenting by the one or more processors automatically, within the event analysis window, a plurality of bolus icons each indicative of a bolus amount and a bolus time that is coincident with the monitoring time period of one of the plurality of continuous glucose monitoring traces, wherein each of plurality of bolus icons comprises a bolus indication object that is aligned with the bolus ordinate axis within the graphical window, a bolus time indication object that is aligned with the time abscissa axis within in the graphical window, and a bolus symbol that is presented outside of the graphical window.

2. The computer-implemented method of claim 1, further comprising:

presenting by the one or more processors automatically, within the event analysis window, a plurality of carbohydrate icons each indicative of a carbohydrate amount and a carbohydrate time that is coincident with the monitoring time period of one of the plurality of continuous glucose monitoring traces, wherein;

the graphical window comprises a carbohydrate ordinate axis that defines carbohydrate units within the graphical window, and each of the plurality of carbohydrate icons comprises a carbohydrate indication object that is aligned with the carbohydrate ordinate axis within the graphical window, a carbohydrate time indication object that is aligned with the time abscissa axis within in the graphical window, and a carbohydrate symbol that is presented outside of the graphical window.

3. The computer-implemented method of claim 1, further comprising:

presenting a date range control by the one or more processors automatically within the event analysis window; and

receiving date input via the date range control by the one or more processors, wherein the date input is indicative of a plurality of dates and the event time of each of the plurality of event instances is coincident with at least one of the plurality of dates.

4. The computer-implemented method of claim 3, further comprising:

presenting one or more criterion controls within the event analysis window by the one or more processors automatically; and

receiving event class input via the one or more criterion controls by the one or more processors, wherein the event class input is indicative of multiple event classes and each of the plurality of event instances is grouped into one of the multiple event classes, and wherein each of the plurality of continuous glucose monitoring traces is coincident with the event time of one of the plurality of event instances for each of the multiple event classes.

5. The computer-implemented method of claim 4, further comprising:

presenting a numerical count of the continuous glucose monitoring traces within the event analysis window by the one or more processors automatically.

6. The computer-implemented method of claim 4, further comprising:

presenting a pre-defined criteria control within the event analysis window by the one or more processors automatically; and

associating the event class input with the pre-defined criteria control by the one or more processors automatically.

7. The computer-implemented method of claim 1, further comprising:

presenting an average trace control within the event analysis window by the one or more processors automatically, wherein the average trace control is configured to be selected and deselected; and

plotting an average trace within the graphical window by the one or more processors automatically, when the average trace control is selected, wherein the average trace is an average of the plurality of continuous glucose monitoring traces.

8. The computer-implemented method of claim 7, further comprising:

graying out the plurality of continuous glucose monitoring traces by the one or more processors automatically, when the average trace control is selected.

9. The computer-implemented method of claim 7, further comprising:

presenting a meal rise control by the one or more processors automatically, wherein the meal rise control is configured to be selected and deselected;

deactivating the meal rise control, when the average trace control is deselected, by the one or more processors automatically;

activating the meal rise control, when the average trace control is selected, by the one or more processors automatically; and

plotting a meal rise icon within the graphical window by the one or more processors automatically, when the meal rise control is activated and selected, wherein the meal rise icon is indicative of a postprandial change in blood glucose values of the average trace.

10. The computer-implemented method of claim 1, further comprising:

receiving input with one of the plurality of continuous glucose monitoring traces to identify the one of the plurality of continuous glucose monitoring traces as a selected trace by the one or more processors; and

highlighting the selected trace by the one or more processors automatically.

11. The computer-implemented method of claim 10, further comprising:

presenting a basal display control by the one or more processors automatically, wherein the basal display control is configured to be selected and deselected;

activating the basal display control, when the selected trace is highlighted, by the one or more processors automatically; and

plotting a basal graphical object within the graphical window by the one or more processors automatically, when a basal rate control is activated and selected, wherein the basal graphical object is scaled according to the time abscissa axis and the bolus ordinate axis such that the basal graphical object is indicative of a basal rate of insulin injected over time.

12. The computer-implemented method of claim 10, wherein the time segment and the bolus time are associated with a color code based upon date, and wherein each of the plurality of continuous glucose monitoring traces is displayed with the color code of the time segment, and the bolus indication object is displayed with the color code of the bolus time.

13. The computer-implemented method of claim 1, further comprising:

presenting by the one or more processors automatically one or more time controls for altering a start time, an end time, or both of the time abscissa axis of the graphical window;

receiving time input with the one or more time controls; and

updating by the one or more processors automatically the start time, the end time, or both of the time abscissa axis of the graphical window based upon the time input, wherein an extent of each of the plurality of continuous glucose monitoring traces is demarcated by the start time and the end time of the time abscissa axis.

14. The computer-implemented method of claim 1, further comprising:

presenting by the one or more processors automatically a reference range control within the event analysis window; and

receiving time range input via the reference range control, wherein the time range input is indicative of a time range, and wherein the event time of each of the plurality of event instances is coincident the time range.

15. A non-transitory computer readable medium storing a program causing one or more processors communicatively coupled to a display to execute a graphical user interface process for visualizing correlations between blood glucose data and events, the graphical user interface process comprising:

presenting by the one or more processors automatically an event analysis window on the display, the event analysis window comprising an event type control positioned within the event analysis window and an graphical window positioned within the event analysis window, wherein the graphical window comprises a time abscissa axis that defines time units within the graphical window, a glucose ordinate axis that defines glucose units within the graphical window, and a bolus ordinate axis that defines bolus units within the graphical window;

receiving by the one or more processors event selection input via the event type control, wherein the event selection input is indicative of an event type associated with a plurality of event instances each being associated with an event time;

defining a reference time along the time abscissa axis of the graphical window;

segmenting by the one or more processors automatically a plurality of blood glucose values associated with a monitoring time period into a plurality of continuous glucose monitoring traces each indicative of blood glucose values, wherein each of the plurality of continuous glucose monitoring traces span a time segment of the monitoring time period such that the time segment is coincident with the event time of one of the plurality of event instances;

plotting by the one or more processors automatically the plurality of continuous glucose monitoring traces within the graphical window, wherein the plurality of continuous glucose monitoring traces are scaled according to the glucose ordinate axis and the time abscissa axis, and the time segment is normalized to and aligned with the reference time; and

presenting by the one or more processors automatically, within the event analysis window, a plurality of bolus icons each indicative of a bolus amount and a bolus time that is coincident with the monitoring time period of one of the plurality of continuous glucose monitoring traces, wherein each of plurality of bolus icons comprises a bolus indication object that is aligned with the bolus ordinate axis within the graphical window, a bolus time indication object that is aligned with the time abscissa axis within in the graphical window, and a bolus symbol that is presented outside of the graphical window.

16. A medical device comprising a display and one or more processors communicatively coupled to the display and configured to:

present automatically an event analysis window on the display, the event analysis window comprising an event type control positioned within the event analysis window and an graphical window positioned within the event analysis window, wherein the graphical window comprises a time abscissa axis that defines time units within the graphical window, a glucose ordinate axis that defines glucose units within the graphical window, and a bolus ordinate axis that defines bolus units within the graphical window;

receive event selection input via the event type control, wherein the event selection input is indicative of an event type associated with a plurality of event instances each being associated with an event time;

define a reference time along the time abscissa axis of the graphical window;

segment automatically a plurality of blood glucose values associated with a monitoring time period into a plurality of continuous glucose monitoring traces each indicative of blood glucose values, wherein each of the plurality of continuous glucose monitoring traces span a time segment of the monitoring time period such that the time segment is coincident with the event time of one of the plurality of event instances;

plot automatically the plurality of continuous glucose monitoring traces within the graphical window, wherein the plurality of continuous glucose monitoring traces are scaled according to the glucose ordinate axis and the time abscissa axis, and the time segment is normalized to and aligned with the reference time; and

present automatically, within the event analysis window, a plurality of bolus icons each indicative of a bolus amount and a bolus time that is coincident with the monitoring time period of one of the plurality of continuous glucose monitoring traces, wherein each of plurality of bolus icons comprises a bolus indication object that is aligned with the bolus ordinate axis within the graphical window, a bolus time indication object that is aligned with the time abscissa axis within in the graphical window, and a bolus symbol that is presented outside of the graphical window.