Method for storing a series of measurements

• US 20110106453A1
• Filed: 04/15/2010
• Published: 05/05/2011
• Est. Priority Date: 10/16/2007
• Status: Active Grant

• Current Assignee: Roche Diabetes Care Inc. (Roche Holding AG)
• Original Assignee: Roche Diagnostics International Ltd.
• Inventors: Krieftewirth, Michael
• Granted Patent: US 9,014,986 B2
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: G01D 9/005 Solid-state data loggers

Abstract

A method reducing storage volume of a series of measured time-dependent parameters measured in or on the human body such as glucose values from a continuous glucose monitor while permitting retrospective reconstruction of measured data with sufficient accuracy. The series comprises a first number of measured values, and a second number of values that are stored. In this case, the second number is smaller than the first number. A first storage mode is provided, in which an interval of time between successive stored values is variable and which is adjusted on the basis of a time-based variability of the measured values. A second storage mode may also be provided, in which the interval, of time between successive stored values is constant. Embodiments of the invention include a measuring apparatus and a computer program.

Claims

1. A method for storing a series of measured values which represent a time-dependent parameter measured in or on the human body, comprising:

measuring a first number of measured values in a series; and

storing a second number of measured values in the series,

wherein the second number is smaller than the first number.

2. The method according to claim 1, further comprising:

a first storage mode in which an interval of time between successive stored values is variable.

3. The method according to claim 2, wherein the first storage mode the interval of time is adjusted on the basis of a time-based variability of the measured values.

4. The method according to claim 3, wherein a measure'"'"'of error in an interpolation between a last stored value and a most recently measured value is formed for a relevant range of the series of measured values, wherein a value from the relevant range of the series is stored if the measure of error exceeds a certain maximum value.

5. The method according to claim 4, wherein linear interpolation is performed between the last stored value and the most recently measured value.

6. The method according to claim 2, further comprising

a second storage mode in which the interval of time between successive stored values is constant, wherein particularly the first storage mode is used if a variability of the measured values is below a prescribed value, and the second storage mode is used if the variability exceeds the prescribed value.

7. The method according to claims 1, wherein trend values are ascertained from the series of measured values.

8. The method according to claim 7, wherein a Kalman filter is used to ascertain the trend values.

9. The method according to Claim 2, wherein a current measured value is stored if a trend value change associated with the currently measured value exceeds a prescribed minimum value.

10. The method according to claim 7, wherein a current measured value is stored if a trend value change associated with the currently measured value exceeds a prescribed minimum value.

11. The method according to claims 7, wherein trend values are also stored besides the stored values.

12. The method according to claim 11, wherein trend change values corresponding to a second derivative of the measured values are ascertained from the series of measured values.

13. The method according to claim 11, wherein time-based interpolation points are provided, at which the relevant trend value and/or trend change value, but not the measured value itself, is stored.

14. The method according to claim 1, wherein the time-dependent parameter measured in or on the human body is a physiological glucose concentration.

15. A method reducing storage volume of a series of measured time-dependent glucose values from a continuous glucose monitor while permitting retrospective reconstruction of measured data with sufficient accuracy, comprising:

measuring a first number of glucose values in a series by a continuous glucose monitor;

analyzing whether the first number of glucose values is below or above a prescribed value;

using a first storage mode that is adaptive if the first number of glucose values is below the prescribed threshold to store a second number of glucose values with an interval of time between successive stored values being variable and the second number of glucose values is smaller than the first number;

using a second storage mode that is constant if the first number of glucose values is above the prescribed threshold to store the second number of glucose values with the interval of time between successive stored values being constant and the second number of glucose values is smaller than the first number; and

,

storing trend values with the second number of glucose values to improve reconstruction of the first number of glucose values measurement curve.

16. An apparatus for storing a series of measured values which represent a time-dependent parameter measured in or on the human body, comprising:

a) a measuring apparatus for continuously measuring and feeding in a series of measured values for a parameter measured on, or in a human body, particularly for a glucose concentration,

b) a system controller having a memory unit for storing the measured values;

wherein the system controller is in a form and programmed such that

c) for a first number of the values covered by the series, and

d) a second number of values can be stored

e) wherein the second number being smaller than the first number.

17. The apparatus according to claim 16, wherein a buffer store is provided which can be used to buffer-store continuously measured values, and also an evaluation apparatus for analyzing a variability of the measured values is present.

18. The apparatus according to claim 16, wherein the system controller comprises a computer for calculating trend values using the expected future profile of the measured parameter, particularly for calculating a derivative of the measured values with respect to time, and is preferably designed to determine a derivative of the trend values with respect to time.

19. The apparatus according to claim 16, wherein the apparatus is a portable apparatus.

20. A computer program product for storing a series of measured values which represent a time-dependent parameter measured in or on the human body that when executed on a data process machine executes that following sequences of instructions, comprising:

a) storing a first number of the values covered by a series, and

b) storing a second number of values covered by the series, wherein the second number is smaller than the first number.

21. The computer program product according to claim 20, further comprising

c) storing in a buffer store continuously measured values, and analyzing a variability of the measured values is present.

22. The computer program product according to claim 20, further comprising

d) calculating trend values using the expected future profile of the measured parameter.

23. The computer program product according to claim 20, wherein calculating trend values using the expected future profile of the measured parameter is performed by calculating a derivative of the measured values with respect to time and is designed to determine a derivative of the trend values with respect to time.