Needle alignment for wearable biosensors

    公开(公告)号:US11234623B2

    公开(公告)日:2022-02-01

    申请号:US15896164

    申请日:2018-02-14

    Applicant: DexCom, Inc.

    Inventor: Sean Frick

    Abstract: Various examples are described for needle alignment for wearable biosensors. One example device includes a housing comprising an upper portion and a lower portion, the housing defining a cavity between the upper portion and the lower portion and configured to be worn on a wearer's skin, wherein: the upper portion defines a first opening extending through the upper portion to the cavity, and the lower portion defines a second opening extending through the lower portion to the cavity, the cavity establishing a substantially unobstructed pathway including the first opening and the second opening to enable an insertion needle to be inserted through the housing; and a needle guide extending into and along a portion of the pathway and aligned with a sensor wire to enable alignment between the insertion needle and the sensor wire.

    GLUCOSE PREDICTION USING MACHINE LEARNING AND TIME SERIES GLUCOSE MEASUREMENTS

    公开(公告)号:US20210375447A1

    公开(公告)日:2021-12-02

    申请号:US17112814

    申请日:2020-12-04

    Applicant: DexCom, Inc.

    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.

    ANALYTE DATA RETRIEVER
    126.
    发明申请

    公开(公告)号:US20210367999A1

    公开(公告)日:2021-11-25

    申请号:US17396392

    申请日:2021-08-06

    Applicant: DexCom, Inc.

    Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include receiving, at a first processing system including a user interface, an installation package including a plug-in and code configured to provide at the first processing system an interface between a sensor system configured to measure an analyte concentration level in a host and a second processing system; storing, by the first processing system, the installation package in a location based on a role of a user initiating the installation of the code; installing the plug-in for the user interface to enable the plug-in to control one or more aspects of an installation of the code; and initiating, by at least the plug-in, the installation of the code at the first processing system to provide the interface. Related systems, methods, and articles of manufacture are also disclosed.

    ADAPTIVE DECISION SUPPORT SYSTEMS
    129.
    发明申请

    公开(公告)号:US20210335499A1

    公开(公告)日:2021-10-28

    申请号:US17241919

    申请日:2021-04-27

    Applicant: DexCom, Inc.

    Abstract: Certain aspects of the present disclosure relate to a method of configuring an application with one or more application features. The method comprises receiving a request to configure the application for use by a user. The method further comprises identifying an objective for the user and identifying classifying information associated with the user, the classifying information including at least one of the objective, interest, ability, demographic information, disease progression information, or medication regimen information of the user. The method further comprises selecting a group of users based on one or more similarities between the user and the group of users. The method further comprises identifying the one or more application features based on the objective of the user and a correlation of each of the plurality of application features with the objective. The method further comprises configuring the application with the one or more application features.

Patent Agency Ranking