Advanced calibration for analyte sensors
First Claim
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1. A method for improving blood glucose sensing using a glucose sensor, the method comprising:
- receiving a priori calibration distribution information obtained prior to a sensor session, the a priori calibration distribution information including probability information about combinations of sensitivity and baseline;
receiving blood glucose sensor data from the glucose sensor during a sensing session for the glucose sensor, the blood glucose sensor data including at least one sensor data point; and
calibrating, during the sensor session, the at least one sensor data point without relying exclusively on factory calibration, assumptions of blood glucose accuracy, or reference data, wherein calibrating includes;
receiving one or more real-time inputs during the sensor session, each of the one or more real-time inputs being capable of influencing calibration of the glucose sensor;
forming a posteriori calibration distribution information using a Bayesian approach and based on the one or more real-time inputs;
converting, in real-time during the sensor session, the at least one sensor data point from the glucose sensor to calibrated sensor data based on the a posteriori calibration distribution information; and
displaying an indication of the calibrated sensor data for the glucose sensor.
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Abstract
Systems and methods for processing sensor data and calibration of the sensors are provided. In some embodiments, the method for calibrating at least one sensor data point from an analyte sensor comprises receiving a priori calibration distribution information; receiving one or more real-time inputs that may influence calibration of the analyte sensor; forming a posteriori calibration distribution information based on the one or more real-time inputs; and converting, in real-time, at least one sensor data point calibrated sensor data based on the a posteriori calibration distribution information.
40 Citations
20 Claims
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1. A method for improving blood glucose sensing using a glucose sensor, the method comprising:
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receiving a priori calibration distribution information obtained prior to a sensor session, the a priori calibration distribution information including probability information about combinations of sensitivity and baseline; receiving blood glucose sensor data from the glucose sensor during a sensing session for the glucose sensor, the blood glucose sensor data including at least one sensor data point; and calibrating, during the sensor session, the at least one sensor data point without relying exclusively on factory calibration, assumptions of blood glucose accuracy, or reference data, wherein calibrating includes; receiving one or more real-time inputs during the sensor session, each of the one or more real-time inputs being capable of influencing calibration of the glucose sensor; forming a posteriori calibration distribution information using a Bayesian approach and based on the one or more real-time inputs; converting, in real-time during the sensor session, the at least one sensor data point from the glucose sensor to calibrated sensor data based on the a posteriori calibration distribution information; and displaying an indication of the calibrated sensor data for the glucose sensor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A system for improving blood glucose sensing using a continuous glucose sensor, the system comprising sensor electronics configured to be operably connected to the continuous glucose sensor, the sensor electronics configured to:
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receive a priori calibration distribution information obtained prior to a sensor session, the a priori calibration distribution information including probability information about combinations of sensitivity and baseline; receive blood glucose sensor data from the glucose sensor during the sensing session for the glucose sensor, the blood glucose sensor data including at least one sensor data point; and calibrate, during the sensor session, the at least one sensor data point without relying exclusively on factory calibration, assumption of blood glucose accuracy or reference data, wherein calibrate includes; receive one or more real-time inputs during the sensing session, each of the one or more real-time inputs being capable of influencing calibration of the glucose sensor; form a posteriori calibration distribution information using a Bayesian approach and using the one or more real-time inputs; convert, in real-time during the sensor session, the at least one sensor data point to calibrated sensor data based on the a posteriori calibration distribution information; and display an indication of the calibrated sensor data for the glucose sensor. - View Dependent Claims (17, 19, 20)
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18. A system for improving blood glucose sensing using a glucose sensor, the system comprising:
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means for receiving a priori calibration distribution information obtained prior to a sensor session, the a priori calibration distribution information including probability information about combinations of sensitivity and baseline; means for receiving blood glucose sensor data from the glucose sensor during the sensing session for the glucose sensor, the blood glucose sensor data including at least one sensor data point; and means for calibrating, during the sensor session, the at least one sensor data point without relying exclusively on factory calibration, assumption of blood glucose accuracy or reference data, wherein the means for calibrating includes; means for receiving one or more real-time inputs during the sensing session, each of the one or more real-time inputs being capable of influencing calibration of the glucose sensor; means for forming a posteriori calibration distribution information using a Bayesian approach and based on the one or more real-time inputs; means for converting, in real-time during the sensor session, the at least one sensor data point to calibrated sensor data based on the a posteriori calibration distribution information; and means for displaying an indication of the calibrated sensor data for the glucose sensor.
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Specification