Systems and methods for processing analyte sensor data
First Claim
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1. A method for analyzing data from an analyte sensor, the method comprising:
- receiving data from the analyte sensor, the data comprising at least one sensor data point;
receiving reference data from a reference analyte monitor, the reference data comprising at least one reference data point; and
determining, using a processor module, an acceptability of the sensor data or the reference data by subjecting the reference data and substantially time-corresponding sensor data to a boundary test utilizing boundaries defined by predetermined minimum and maximum a priori slope information and a priori baseline information derived from a regression analysis of data obtained prior to insertion of the continuous analyte sensor from at least one of in vitro testing of at least one other continuous analyte sensor or in vivo testing of at least one other continuous analyte sensor;
subsequently forming a conversion function in that defines a slope and a baseline only if the reference data and the substantially time-corresponding sensor data fall within the boundaries, wherein the slope is a calculated amount of electrical current produced by a predetermined amount of the measured analyte, wherein the baseline is a calculated signal contribution due to factors other than the analyte concentration, and wherein both the slope and the baseline are calculated in real-time based on a regression analysis using an equation y=m×
+b, wherein x includes the reference data that fell within the boundaries and y includes the substantially time-corresponding sensor data that fell within the boundaries, wherein m is the slope and b is the baseline; and
converting the at least one sensor data point to an estimated glucose valued based on the conversion function.
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Abstract
The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for processing sensor data, including calculating a rate of change of sensor data and/or determining an acceptability of sensor or reference data.
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Citations
28 Claims
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1. A method for analyzing data from an analyte sensor, the method comprising:
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receiving data from the analyte sensor, the data comprising at least one sensor data point; receiving reference data from a reference analyte monitor, the reference data comprising at least one reference data point; and determining, using a processor module, an acceptability of the sensor data or the reference data by subjecting the reference data and substantially time-corresponding sensor data to a boundary test utilizing boundaries defined by predetermined minimum and maximum a priori slope information and a priori baseline information derived from a regression analysis of data obtained prior to insertion of the continuous analyte sensor from at least one of in vitro testing of at least one other continuous analyte sensor or in vivo testing of at least one other continuous analyte sensor; subsequently forming a conversion function in that defines a slope and a baseline only if the reference data and the substantially time-corresponding sensor data fall within the boundaries, wherein the slope is a calculated amount of electrical current produced by a predetermined amount of the measured analyte, wherein the baseline is a calculated signal contribution due to factors other than the analyte concentration, and wherein both the slope and the baseline are calculated in real-time based on a regression analysis using an equation y=m×
+b, wherein x includes the reference data that fell within the boundaries and y includes the substantially time-corresponding sensor data that fell within the boundaries, wherein m is the slope and b is the baseline; andconverting the at least one sensor data point to an estimated glucose valued based on the conversion function. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for analyzing data from an analyte sensor, the system comprising:
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a sensor data receiving module configured to receive sensor data from the analyte sensor, the sensor data comprising at least one sensor data point; a reference data receiving module configured to receive reference data from a reference analyte monitor, the reference data comprising at least one reference data point; and a processor module configured to determine an acceptability of the sensor data or the reference data by subjecting the reference data and substantially time-corresponding sensor data to a boundary test utilizing boundaries defined by predetermined minimum and maximum a priori slope information and a priori baseline information derived from a regression analysis of data obtained prior to insertion of the continuous analyte sensor from at least one of in vitro testing of at least one other continuous analyte sensor or in vivo testing of at least one other continuous analyte sensor, wherein the processor module is configured to subsequently form a conversion function in that defines a slope and a baseline only if the reference data and the substantially time-corresponding sensor data fall within the boundaries, wherein the slope is a calculated amount of electrical current produced by a predetermined amount of the measured analyte, wherein the baseline is a calculated signal contribution due to factors other than the analyte concentration, and wherein both the slope and the baseline are calculated in real-time based on a regression analysis using an equation y=m×
+b, wherein x includes the reference data that fell within the boundaries and y includes the substantially time-corresponding sensor data that fell within the boundaries, wherein m is the slope and b is the baseline, and wherein the processor module is configured to convert the at least one sensor data point to an estimated glucose valued based on the conversion function. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification