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US 2018/0323882 A1Published application
Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
AssigneesAbbott Diabetes Care Inc., University of Virginia Patent Foundation
InventorsMarc D. Breton, Boris P. Kovatchev, Erwin S. Budiman, Kenneth J. Doniger
Life of this patent
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Abstract
Method, system and computer program product for providing real time detection of analyte sensor sensitivity decline is continuous glucose monitoring systems are provided.
Claims19
1-25. (canceled)
A computer implemented method, comprising:
- receiving a set of analyte sensor data taken over a first time period after initialization of a sensor;
- performing a sliding window analysis on the set of analyte sensor data, wherein performing the sliding window analysis comprises:
- extracting a first sensor data characteristic for a first window of the set of analyte sensor data, wherein the first window starts at a first start time, ends at a first end time, and has a first duration less than the first time period;
- and
- extracting a second sensor data characteristic for a second window of the set of analyte sensor data, wherein the second window starts at a second start time after the first start time, ends at a second end time after the first end time, and has a second duration less than the first time period;
- and
- determining a probable existence of early signal attenuation based on the first and second sensor data characteristics.
4 more elements
An apparatus, comprising:
- a data storage unit;
- and
- a processing unit operatively coupled to the data storage unit, the processing unit programmed to:
- perform a sliding window analysis on a set of analyte sensor data, wherein the set of analyte sensor data is taken over a first time period after initialization of a sensor, and wherein in performance of the sliding window analysis, the processing unit is programmed to:
- extract a first sensor data characteristic for a first window of the set of analyte sensor data, wherein the first window starts at a first start time, ends at a first end time, and has a first duration less than the first time period;
- and
- extract a second sensor data characteristic for a second window of the set of analyte sensor data, wherein the second window starts at a second start time after the first start time, ends at a second end time after the first end time, and has a second duration less than the first time period;
- and
- determine a probable existence of early signal attenuation based on the first and second sensor data characteristics.
6 more elements
Dependencies are inferred from the claim text.