SYSTEM AND METHODS FOR PROCESSING ANALYTE SENSOR DATA
First Claim
1. A method for evaluating clinical acceptability of at least one of reference and sensor analyte data, the method comprising:
- receiving a data stream from an analyte sensor, including one or more sensor data points;
receiving reference data from a reference analyte monitor, including one or more reference data points; and
evaluating the clinical acceptability at least one of said reference and sensor analyte data using substantially time corresponding reference or sensor data, wherein said at least one of said reference and sensor analyte data is evaluated for deviation from its substantially time corresponding reference or sensor data and clinical risk associated with that deviation based on the glucose value indicated by at least one of said sensor and reference data.
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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
30 Claims
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1. A method for evaluating clinical acceptability of at least one of reference and sensor analyte data, the method comprising:
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receiving a data stream from an analyte sensor, including one or more sensor data points; receiving reference data from a reference analyte monitor, including one or more reference data points; and evaluating the clinical acceptability at least one of said reference and sensor analyte data using substantially time corresponding reference or sensor data, wherein said at least one of said reference and sensor analyte data is evaluated for deviation from its substantially time corresponding reference or sensor data and clinical risk associated with that deviation based on the glucose value indicated by at least one of said sensor and reference data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer system for evaluating clinical acceptability of at least one of reference and sensor analyte data, the computer system comprising:
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a sensor data receiving module that receives a data stream comprising a plurality of time spaced sensor data points from a substantially continuous analyte sensor; a reference data receiving module that receives reference data from a reference analyte monitor, including one or more reference data points; and a clinical acceptability evaluation module that evaluates at least one of said reference and sensor analyte data using substantially time corresponding reference and sensor data, wherein said at least one of said reference and sensor analyte data is evaluated for deviation from its substantially time corresponding reference or sensor data and clinical risk associated with that deviation based on the glucose value indicated by at least one of said sensor and reference data. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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18. A method for evaluating clinical acceptability of at least one of reference and sensor analyte data, the method comprising:
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receiving a data stream from an analyte sensor, including one or more sensor data points; receiving reference data from a reference analyte monitor, including one or more reference data points; and evaluating the clinical acceptability at least one of said reference and sensor analyte data using substantially time corresponding reference and sensor data, including using a Clarke Error Grid.
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19. A method for displaying sensor data from a continuous glucose sensor, the method comprising:
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receiving a signal from a glucose sensor, the signal comprising one or more sensor data points; receiving reference data from a reference glucose monitor, the reference data comprising one or more reference data points; evaluating a clinical acceptability of at least one of the reference data and the sensor data using substantially time corresponding reference data or sensor data, wherein at least one of the reference data and the sensor data is evaluated for deviation from substantially time corresponding reference data or sensor data, and wherein a clinical risk associated with that deviation is based on the glucose value indicated by at least one of the sensor data and the reference data; and outputting information to a user interface, wherein the information is reflective of the sensor data responsive to the step of evaluating the clinical acceptability. - View Dependent Claims (20, 21, 22, 23, 24)
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25. A system for displaying sensor data from a continuous glucose sensor, the system comprising:
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a sensor data module configured to receive a signal from a continuous glucose sensor, the signal comprising one or more sensor data points; a reference input module configured to receive reference data from a reference glucose monitor, the reference data comprising one or more reference data points; a processor module configured to evaluate a clinical acceptability of at least one of the reference data and the sensor data using substantially time corresponding reference data or sensor data, wherein at least one of the reference data and the sensor data is evaluated for deviation from substantially time corresponding reference data or sensor data, and wherein a clinical risk associated with that deviation based on the glucose value is indicated by at least one of the sensor data and the reference data; and an output module configured to output information to a user interface, wherein the information is reflective of the sensor data responsive to the step of evaluating the clinical acceptability. - View Dependent Claims (26, 27, 28, 29, 30)
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Specification