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    GLUCOSE PREDICTION USING MACHINE LEARNING AND TIME SERIES GLUCOSE MEASUREMENTS
    124.
    发明申请
    GLUCOSE PREDICTION USING MACHINE LEARNING AND TIME SERIES GLUCOSE MEASUREMENTS 有权

    公开(公告)号：US20210375448A1

    公开(公告)日：2021-12-02

    申请号：US17112828

    申请日：2020-12-04

    Applicant: DexCom, Inc.

    Inventor： Mark Derdzinski ,  Andrew Scott Parker

    IPC: G16H40/67 ,  G06N3/08 ,  G06N3/04 ,  G16H50/20

    Abstract: Glucose prediction using machine learning (ML) and time series glucose measurements is described. Given the number of people that wear glucose monitoring devices and because some wearable glucose monitoring devices can produce measurements continuously, a platform providing such devices may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process and covers a robust number of state spaces unlikely to be covered without the enormous amount of data. In implementations, a glucose monitoring platform includes an ML model trained using historical time series glucose measurements of a user population. The ML model predicts upcoming glucose measurements for a particular user by receiving a time series of glucose measurements up to a time and determining the upcoming glucose measurements of the particular user for an interval subsequent to the time based on patterns learned from the historical time series glucose measurements.

    ADVANCED ANALYTE SENSOR CALIBRATION AND ERROR DETECTION
    125.
    发明申请
    ADVANCED ANALYTE SENSOR CALIBRATION AND ERROR DETECTION 有权

    公开(公告)号：US20210369149A1

    公开(公告)日：2021-12-02

    申请号：US17398628

    申请日：2021-08-10

    Applicant: DexCom, Inc.

    Inventor： Sebastian Böhm ,  Daiting Rong ,  Peter C. Simpson

    IPC: A61B5/1495 ,  G01N27/327 ,  A61B5/145 ,  A61B5/1486 ,  A61B5/00 ,  G01D18/00 ,  G01N27/02 ,  G01N33/49 ,  A61B5/1473

    Abstract: Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

    Zwitterion surface modifications for continuous sensors
    126.
    发明授权
    Zwitterion surface modifications for continuous sensors 有权

    公开(公告)号：US11179079B2

    公开(公告)日：2021-11-23

    申请号：US16721675

    申请日：2019-12-19

    Applicant: DexCom, Inc.

    Inventor： Robert J. Boock ,  Chris W. Dring

    IPC: A61B5/1486 ,  A61B5/145

    Abstract: Devices are provided for measurement of an analyte concentration, e.g., glucose in a host. The device can include a sensor configured to generate a signal associated with a concentration of an analyte; and a sensing membrane located over the sensor. The sensing membrane comprises a diffusion resistance domain configured to control a flux of the analyte therethrough. The diffusion resistance domain comprises one or more zwitterionic compounds and a base polymer comprising both hydrophilic and hydrophobic regions.

    SECURE HEALTH MANAGEMENT SYSTEM
    127.
    发明申请
    SECURE HEALTH MANAGEMENT SYSTEM 有权

    公开(公告)号：US20210350918A1

    公开(公告)日：2021-11-11

    申请号：US17308754

    申请日：2021-05-05

    Applicant: DexCom, Inc.

    Inventor： Nathanael Paul ,  Jorge Barreras ,  Aniel Alvarez ,  Reinier Bao

    IPC: G16H40/63

    Abstract: Techniques and protocols for establishing secure communications between a display device, a sensor system, and a server system are disclosed. In certain embodiments, the techniques and protocols include secure diabetes device identification techniques and protocols, user-centric mutual authentication techniques and protocols, and device-centric mutual authentication techniques and protocols.

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