Signal processing for continuous analyte sensor
First Claim
1. A method for processing sensor data, the method comprising:
- receiving sensor data from a continuous analyte sensor;
receiving reference data from a reference analyte monitor measured at a reference time period;
estimating at least one analyte value based on the sensor data for the reference time period; and
forming, using a processor module, at least one matched data pair by matching the reference data to the at least one estimated analyte value,wherein the reference time period corresponds to a future sensor data time period during which no sensor data exists due to at least a physiological time lag between analyte concentrations measured by the continuous glucose sensor and the reference analyte monitor.
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Abstract
Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.
801 Citations
26 Claims
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1. A method for processing sensor data, the method comprising:
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receiving sensor data from a continuous analyte sensor; receiving reference data from a reference analyte monitor measured at a reference time period; estimating at least one analyte value based on the sensor data for the reference time period; and forming, using a processor module, at least one matched data pair by matching the reference data to the at least one estimated analyte value, wherein the reference time period corresponds to a future sensor data time period during which no sensor data exists due to at least a physiological time lag between analyte concentrations measured by the continuous glucose sensor and the reference analyte monitor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for processing sensor data, the system comprising:
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a sensor input module operatively connected to a continuous analyte sensor that receives sensor data from the continuous analyte sensor; a reference input module that receives reference data from a reference analyte monitor, the reference data measured at a reference time period; and a processor module configured to estimate at least one analyte value based on the sensor data for the reference time period, and to form at least one matched data pair by matching the reference data to the at least one estimated analyte value, wherein the reference time period corresponds to a future sensor data time period during which no sensor data exists due to a physiological time lag between analyte concentrations measured by the continuous glucose sensor and the reference anal monitor. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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Specification