System and methods for processing analyte sensor data
First Claim
1. A system for continuous glucose monitoring, comprising:
- a closed loop in vivo sensor configured to measure a concentration of glucose in a host;
an insulin pump;
a computer system configured to process sensor data generated by the in vivo sensor; and
a user interface configured to display the sensor data associated with the in vivo sensor,wherein the user interface is configured to accept input of mealtime, exercise, insulin administration, and reference glucose values,wherein the computer system is configured to use the input to determine likelihood of acceptable reference data,wherein the computer system is configured to match reference blood glucose values received from a patient with sensor data from the in vivo sensor using a variable time delay to account for a time delay introduced by the data smoothing filter or physiological time lag,wherein the computer system is configured to display, on the user interface, an indication of instability of the sensor data,wherein the computer system is configured to process the sensor data by determining insulin administration timing information for evading a hypoglycemic condition, andwherein the computer system is configured to output the insulin administration timing information to the insulin pump.
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Accused Products
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
19 Claims
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1. A system for continuous glucose monitoring, comprising:
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a closed loop in vivo sensor configured to measure a concentration of glucose in a host; an insulin pump; a computer system configured to process sensor data generated by the in vivo sensor; and a user interface configured to display the sensor data associated with the in vivo sensor, wherein the user interface is configured to accept input of mealtime, exercise, insulin administration, and reference glucose values, wherein the computer system is configured to use the input to determine likelihood of acceptable reference data, wherein the computer system is configured to match reference blood glucose values received from a patient with sensor data from the in vivo sensor using a variable time delay to account for a time delay introduced by the data smoothing filter or physiological time lag, wherein the computer system is configured to display, on the user interface, an indication of instability of the sensor data, wherein the computer system is configured to process the sensor data by determining insulin administration timing information for evading a hypoglycemic condition, and wherein the computer system is configured to output the insulin administration timing information to the insulin pump. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification