METHOD, SYSTEM, AND COMPUTER PROGRAM PRODUCT FOR CALCULATING DAILY WEIGHTED AVERAGES OF GLUCOSE MEASUREMENTS (OR DERIVED QUANTITIES) WITH TIME-BASED WEIGHTS

• US 20120197536A1
• Filed: 04/05/2012
• Published: 08/02/2012
• Est. Priority Date: 06/25/2008
• Status: Active Grant

• Current Assignee: Roche Diabetes Care Inc. (Roche Holding AG)
• Original Assignee: Roche Diagnostics Operations Incorporated (Roche Holding AG)
• Inventors: Weinert, Stefan, Thukral, Ajay
• Granted Patent: US 9,092,553 B2
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: C12Q 1/00 Measuring or testing processes involving enzymes, nucleic acids or microorganisms measuring or testing apparatus with condition measuring or sensing means, e.g. colony counters, C12M1/34; Compositions therefor; Processes of preparing such compositions
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A method and system for calculating daily weighted averages of glucose measurements (or derived quantities) with time-based weights are disclosed. The present invention computes an average daily glucose value using the time based weights based on only consecutive glucose measurements in the plurality of glucose measurements with acceptable time intervals that do not exceed a predefined maximum time interval. The invention further relates to a computer program for implementing the method for calculating daily weighted averages of spot monitoring glucose measurements (or derived quantities) with the time-based weights.

Claims

1. A method for calculating daily weighted averages of glucose measurements collected at a different time with time-based weights comprising:

determining whether each time interval between two consecutive glucose measurements in a plurality of glucose measurements exceeds a predefined maximum time interval value;

computing electronically an average daily glucose value, which represents the daily weighted average of the glucose measurements, using time based weights with the glucose measurements, wherein only consecutive glucose measurements in the plurality of glucose measurements with acceptable time intervals that do not exceed the predefined maximum time interval contribute to the average daily glucose value; and

providing the computed daily weighted average of the glucose measurements.

2. The method of claim 1, further comprises providing the plurality of glucose measurements each collected at a different time in at least one of a personal digital assistant or a glucose meter.

3. The method of claim 2, wherein the personal digital assistant or the glucose meter is equipped with memory and processing capabilities to process a chronological sequence of measurements of a time dependent parameter measured in or on the human body.

4. A system for calculating daily weighted averages of glucose measurements collected at a different time with time-based weights comprising:

a processor programmed to;

determine whether each time interval between two consecutive glucose measurements in a plurality of glucose measurements exceeds a predefined maximum time interval length;

compute an average daily glucose value, which represents the daily weighted average of the glucose measurements, using time based weights with the glucose measurements, wherein only consecutive glucose measurements in the plurality of glucose measurements with acceptable time intervals that do not exceed the predefined maximum time interval contribute to the average daily glucose value; and

provide the computed daily weighted average of the glucose measurements.

5. The system of claim 4, wherein the processor is further programmed to receive the plurality of glucose measurements each collected at a different time in at least one of a personal digital assistant or a glucose meter.

6. The system of claim 5, wherein the personal digital assistant or the glucose meter is equipped with memory and processing capabilities to process a chronological sequence of measurements of a time dependent parameter measured in or on the human body.