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    COMPLEX REDUNDANCY IN CONTINUOUS GLUCOSE MONITORING
    32.
    发明申请
    COMPLEX REDUNDANCY IN CONTINUOUS GLUCOSE MONITORING 审中-公开

    公开(公告)号：US20190175080A1

    公开(公告)日：2019-06-13

    申请号：US15840673

    申请日：2017-12-13

    Applicant: MEDTRONIC MINIMED, INC.

    Inventor： Andrea Varsavsky ,  Jeffrey Nishida ,  Taly G. Engel ,  Keith Nogueira ,  Andy Y. Tsai ,  Peter Ajemba

    IPC: A61B5/1495 ,  A61B5/145 ,  A61B5/1473 ,  A61B5/00 ,  A61M5/142 ,  A61M5/172

    Abstract: A continuous glucose monitoring system may employ complex redundancy to take operational advantage of disparate characteristics of two or more dissimilar, or non-identical, sensors, including, e.g., characteristics relating to hydration, stabilization, and durability of such sensors. Fusion algorithms, Electrochemical Impedance Spectroscopy (EIS), and advanced Application Specific Integrated Circuits (ASICs) may be used to implement use of such redundant glucose sensors, devices, and sensor systems in such a way as to bridge the gaps between fast start-up, sensor longevity, and accuracy of calibration-free algorithms. Systems, devices, and algorithms are described for achieving a long-wear and reliable sensor which also minimizes, or eliminates, the need for BG calibration, thereby providing a calibration-free, or near calibration-free, sensor.

    METHODS, SYSTEMS, AND DEVICES FOR CALIBRATION AND OPTIMIZATION OF GLUCOSE SENSORS AND SENSOR OUTPUT
    33.
    发明申请
    METHODS, SYSTEMS, AND DEVICES FOR CALIBRATION AND OPTIMIZATION OF GLUCOSE SENSORS AND SENSOR OUTPUT 审中-公开

    公开(公告)号：US20190076070A1

    公开(公告)日：2019-03-14

    申请号：US16117733

    申请日：2018-08-30

    Applicant: MEDTRONIC MINIMED, INC.

    Inventor： Keith Nogueira ,  Peter Ajemba ,  Michael E. Miller ,  Steven C. Jacks ,  Jeffrey Nishida ,  Andy Y. Tsai ,  Andrea Varsavsky

    IPC: A61B5/145 ,  A61B5/1495 ,  A61B5/1486

    Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects. Correction actors, fusion algorithms, EIS, and advanced ASICs may be used to implement the foregoing, thereby achieving the goal of improved accuracy and reliability without the need for blood-glucose calibration, and providing a calibration-free, or near calibration-free, sensor.

    METHODS, SYSTEMS, AND DEVICES FOR CALIBRATION AND OPTIMIZATION OF GLUCOSE SENSORS AND SENSOR OUTPUT
    34.
    发明申请
    METHODS, SYSTEMS, AND DEVICES FOR CALIBRATION AND OPTIMIZATION OF GLUCOSE SENSORS AND SENSOR OUTPUT 审中-公开

    公开(公告)号：US20190076066A1

    公开(公告)日：2019-03-14

    申请号：US16117466

    申请日：2018-08-30

    Applicant: MEDTRONIC MINIMED, INC.

    Inventor： Peter Ajemba ,  Keith Nogueira ,  Jeffrey Nishida ,  Andy Y. Tsai

    IPC: A61B5/1495 ,  A61B5/145 ,  A61B5/1486 ,  A61B5/00 ,  A61B5/0205

    Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects. Correction actors, fusion algorithms, EIS, and advanced ASICs may be used to implement the foregoing, thereby achieving the goal of improved accuracy and reliability without the need for blood-glucose calibration, and providing a calibration-free, or near calibration-free, sensor.

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