System and methods for processing analyte sensor data
First Claim
1. A method for processing data from an analyte sensor, comprising:
- receiving sensor data from an analyte sensor, wherein the sensor data comprises at least one sensor data point;
receiving reference data, wherein the reference data comprises at least one reference data point;
matching a first reference data point to a substantially time corresponding first sensor data point to form a calibration set;
forming a first conversion function based at least in part on the calibration set, wherein the first conversion function comprises a first baseline and a first analyte sensitivity;
forming a second conversion function based at least in part on the calibration set, wherein the second conversion function comprises a second baseline and a second analyte sensitivity, wherein at least one attribute of the first conversion function is different from a corresponding attribute of the second conversion function, wherein the at least one attribute is selected from the group consisting of baseline, analyte sensitivity, and combinations thereof; and
determining, using a processor module, an analyte output value, wherein determining an analyte output value comprises applying the first conversion function to a sensor data point if the sensor data point is within a first predetermined glucose range and applying the second conversion function to the sensor data point if the sensor data point is within a second predetermined glucose range.
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Abstract
Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
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Citations
14 Claims
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1. A method for processing data from an analyte sensor, comprising:
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receiving sensor data from an analyte sensor, wherein the sensor data comprises at least one sensor data point; receiving reference data, wherein the reference data comprises at least one reference data point; matching a first reference data point to a substantially time corresponding first sensor data point to form a calibration set; forming a first conversion function based at least in part on the calibration set, wherein the first conversion function comprises a first baseline and a first analyte sensitivity; forming a second conversion function based at least in part on the calibration set, wherein the second conversion function comprises a second baseline and a second analyte sensitivity, wherein at least one attribute of the first conversion function is different from a corresponding attribute of the second conversion function, wherein the at least one attribute is selected from the group consisting of baseline, analyte sensitivity, and combinations thereof; and determining, using a processor module, an analyte output value, wherein determining an analyte output value comprises applying the first conversion function to a sensor data point if the sensor data point is within a first predetermined glucose range and applying the second conversion function to the sensor data point if the sensor data point is within a second predetermined glucose range. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for measuring a glucose concentration in a host, comprising:
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an analyte sensor configured to receive sensor data; and a processor module configured to receive the sensor data and reference data, wherein the sensor data comprises at least one sensor data point and wherein the reference data comprises at least one reference data point; and
wherein the processor module configured to;match a first reference data point to a substantially time corresponding first sensor data point to form a calibration set; form a first conversion function based at least in part on the calibration set, wherein the first conversion function comprises a first baseline and a first analyte sensitivity; form a second conversion function based at least in part on the calibration set, wherein the second conversion function comprises a second baseline and a second analyte sensitivity, wherein at least one attribute of the first conversion function is different from a corresponding attribute of the second conversion function, wherein the at least one attribute is selected from the group consisting of baseline, analyte sensitivity, and combinations thereof; and determine an analyte output value, wherein determining an analyte output value comprises applying the first conversion function to a sensor data point if the sensor data point is within a first predetermined glucose range and applying the second conversion function to the sensor data point if the sensor data point is within a second predetermined glucose range.
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Specification