Assessment method to process a glucose concentration signal and devices thereof

• US 8,352,196 B2
• Filed: 10/06/2011
• Issued: 01/08/2013
• Est. Priority Date: 01/29/2007
• Status: Active Grant

• Current Assignee: Roche Diabetes Care Inc. (Roche Holding AG)
• Original Assignee: Roche Diagnostics International AG (Roche Holding AG)
• Inventors: Patte, Caroline, Vering, Thomas, Kuhnl, Florian, Kalt, Lucas, Cris, Catalin
• Primary Examiner(s): Bui, Bryan
• Application Number:
  US13/267,436
• Publication Number:
  US 20120029833A1
• Time in Patent Office: 460 Days
• Field of Search: 702/19, 600/365
• US Class Current: 702/19
• 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 5/7285 for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/00 ICT specially adapted for the handling or processing of medical references
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Embodiments of an assessment method for processing a signal corresponding to a glucose concentration and performing a retrospective analysis includes the steps of: a) initiating a first trigger, wherein the first trigger defines the beginning of a segment of a continuous measurement of glucose concentration or define the first of a series of spot measurements of glucose concentration; b) collecting data of the continuous measurement or the series of spot measurements of glucose concentration to be analyzed, wherein the collected data relates to a glucose concentration excursion corresponding to a reaction to a relevant event such as a meal or physical activity; c) analyzing the collected data initiated by a second trigger, wherein the second trigger defines the end of the collected data to be analyzed, wherein a measure for a grading of the excursion is determined from the collected data, and d) displaying the result of the analysis.

Claims

1. An assessment method for processing a signal corresponding to a glucose concentration, comprising:

providing a device comprising;

a measuring device for collecting glucose concentration control data;

a computing device coupled to the measuring device for analyzing the glucose concentration control data, the computer device being configured to both provide at least two target gates, each comprising an interval of values defined by an estimated glucose concentration corresponding to an optimum reaction of a human body to a challenge, and to determine a grade for the glucose concentration control;

providing by the computing device the at least two target gates;

collecting by the measuring device the glucose concentration control data;

analyzing by the computing device the glucose concentration control data;

determining by the computing device the grade for the glucose concentration control; and

wherein the grading of the glucose concentration control is based on the number of glucose values which lie within at least one of the at least two target gates relative to the total number of target gates.

2. The method of claim 1 wherein the at least two target gates comprises a set of target gates comprising at least a first target gate of a first width and a second target gate of a second width.

3. The method of claim 1 wherein the at least two target gates comprises at least two sets of target gates comprising at least a first target gate of a first width and a second target gate of a second width.

4. The method of claim 1 wherein:

at least one of the at least two target gates comprises at least one interval value having a center point corresponding to an ideal glucose concentration at a respective time point;

the center point is displaced so the interval values of the glucose excursion of the corresponding grade are displaced; and

the computing device is additionally configured to account for the displaced centerpoint and displaced grading in determining the grade for the glucose concentration control.

5. The method of claim 4 wherein the computer is configured to account for a critical value in determining the grade for the glucose concentration control so a deviation in one direction is not as significant as a deviation in the opposite one.

6. The method of claim 1 wherein a monitoring device is coupled to the measuring device;

and wherein collecting of data by the measuring device occurs when the monitoring device is triggered to communicate with the measuring device by a predetermined slope of a glucose concentration curve.

7. The method of claim 1 wherein a monitoring device is coupled to the measuring device, and wherein:

the monitoring device is a pulse monitor; and

the monitoring device is configured to have at least a first trigger starting measuring device data collection by the measuring device and at least a second trigger ending measuring device data collection wherein the first trigger corresponds with a first predefined heart rate and the second trigger corresponds to a second predefined heart rate, respectively; and

wherein the predefined heart rates have a direct connection with insulin therapy.

8. The method of claim 7 wherein the at least first trigger starting data collection comprises the first predefined heart rate and a predefined temperature detected by a thermometer.

9. The method of claim 7 wherein the at least first trigger starting data collection comprises the first predefined heart rate, the predefined temperature, and a predetermined absolute blood glucose level.

10. A device for processing a signal corresponding to a glucose concentration comprising:

a measuring device for collecting glucose concentration control data; and

a computing device coupled to the measuring device, wherein the computing device is configured to;

analyze glucose concentration control data,

provide at least two target gates each comprising an interval of values defined by an estimated glucose concentration corresponding to an optimum reaction of a human body to a challenge and configured to determine a grade for the glucose concentration control; and

determine a grade for the glucose concentration control based on the number of glucose values which lie within at least one of the at least two target gates relative to the total number of target gates.

11. The device of claim 10 comprising a monitoring device configured to have at least a first trigger starting data collection by the measuring device and at least a second trigger ending data collection by the measuring device.

12. The device of claim 11 wherein the monitoring device is configured for quasi-continuous monitoring.

13. The device of claim 11 wherein the monitoring device is a pulse monitor.

14. The device of claim 11 comprising a thermometer and wherein the at least first trigger starting data collection comprises a predefined temperature.

15. The device of claim 11 wherein the monitoring device comprises a voice sensitive device configured to start and stop data collection by the at least first and second triggers, wherein the triggers are voice-mediated.

16. The device of claim 15 comprising a touch-sensitive screen coupled to the monitoring device configured to start and stop data collection by the measuring device based on user input using the touch screen.

17. The device of claim 10 comprising:

a display screen coupled to the computing device;

wherein the computing device is configured to account for non-cyclic eating habits by being configured to;

provide individual feedback to the user through the display screen at a predetermined time following the start of a meal;

wherein the feedback consists of the effect of the amount, timing and distribution of the insulin bolus, which has been applied with respect to the previous meal; and

wherein the computer is configured to determine how good the matching of the applied bolus of insulin to the specific meal was and thus gives advice for the further treatment.

18. A device for processing a signal corresponding to a glucose concentration comprising:

a monitoring device configured to have at least a first trigger starting data collection and at least a second trigger ending data collection;

a measuring device for collecting glucose concentration control data;

a computing device coupled to the measuring device, wherein the computing device is configured to;

analyze glucose concentration control data,

provide at least two target gates each comprising an interval of values defined by an estimated glucose concentration corresponding to an optimum reaction of a human body to a challenge and configured to determine a grade for the glucose concentration control, and

determine a grade for the glucose concentration control based on the number of glucose values which lie within at least one of the at least two target gates relative to the total number of target gates; and

a touch-sensitive screen coupled to the monitoring device configured to start and stop data collection by the monitoring device based on user input using the touch screen.

19. The device of claim 18 further comprising a display screen providing feedback to the user consisting of the determined grade for the glucose concentration.

20. The device of claim 18 wherein the computer is configured to account for a critical value in determining the grade for the glucose concentration control so a deviation in one direction is not as significant as a deviation in the opposite one.