SYSTEMS AND METHODS FOR DETECTING GLUCOSE LEVEL DATA PATTERNS
First Claim
1. An analyte concentration monitoring system, comprising:
- a display screen;
one or more processors;
an input module configured to receive sensor data from an analyte sensor configured to generate sensor data points indicative of a measured an analyte concentration;
memory; and
one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, the one or more programs including;
instructions to apply a weighted value to each sensor data point falling within a timeframe of sensor data, the weighted value depending upon a concentration value of the sensor data;
instructions to aggregate the weighted sensor data according to time of day; and
instructions to display the aggregated, weighted sensor data on a chart.
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Accused Products
Abstract
Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.
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Citations
32 Claims
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1. An analyte concentration monitoring system, comprising:
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a display screen; one or more processors; an input module configured to receive sensor data from an analyte sensor configured to generate sensor data points indicative of a measured an analyte concentration; memory; and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, the one or more programs including; instructions to apply a weighted value to each sensor data point falling within a timeframe of sensor data, the weighted value depending upon a concentration value of the sensor data; instructions to aggregate the weighted sensor data according to time of day; and instructions to display the aggregated, weighted sensor data on a chart. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer-implemented method for identifying patterns in continuous analyte data, the method comprising:
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obtaining analyte data points from computer memory falling within a designated date range; applying one of more filters to the analyte data to generate contributor data points; weighting each the contributor data point based on the contributor data point'"'"'s analyte value; assigning each weighted contributor data point to a matching epoch; identifying if an epoch is a match based on whether the contributor or contributors assigned to the epoch meet at least one pattern threshold; determining one or more patterns by scanning the epochs for flags; and outputting information representative of the determined one or more patterns. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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Specification