SIGNAL PROCESSING FOR CONTINUOUS ANALYTE SENSOR
    21.
    发明申请
    SIGNAL PROCESSING FOR CONTINUOUS ANALYTE SENSOR 审中-公开
    连续分析传感器信号处理

    公开(公告)号:US20140180049A1

    公开(公告)日:2014-06-26

    申请号:US14189940

    申请日:2014-02-25

    Applicant: DexCom, Inc.

    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.

    Abstract translation: 用于动态和智能地估计来自连续分析物传感器的分析物数据的系统和方法,包括接收数据流,选择多种算法中的一种,以及采用所选择的算法来估计分析物值。 附加数据处理包括评估所选择的估计算法,基于统计学,临床或生理参数分析估计分析物值的变化,将估计的分析物值与相应的测量分析物值进行比较,以及向用户提供输出。 估计可用于补偿时间滞后,匹配传感器数据与相应的参考数据,警告即将到来的临床风险,替换错误的传感器数据信号,并提供更及时的分析物信息,鼓励主动行为和抢占临床风险。

    System and methods for processing analyte sensor data

    公开(公告)号:US10786185B2

    公开(公告)日:2020-09-29

    申请号:US15863287

    申请日:2018-01-05

    Applicant: DexCom, Inc.

    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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