公开(公告)号：US11653860B2

公开(公告)日：2023-05-23

申请号：US17100465

申请日：2020-11-20

Applicant: DexCom, Inc.

Inventor： Andrew Parker ,  Neha Vyas ,  Christopher Hannemann

IPC: A61B5/145 ,  A61B5/00 ,  G16H40/67 ,  G16H10/60 ,  G16H50/70 ,  G16H50/20 ,  G16H20/30

CPC classification number: A61B5/14532 ,  A61B5/0004 ,  A61B5/0022 ,  A61B5/14503 ,  A61B5/6801 ,  A61B5/7267 ,  A61B5/7275 ,  A61B5/742 ,  A61B5/7405 ,  G16H10/60 ,  G16H40/67 ,  G16H50/20 ,  G16H50/70 ,  G16H20/30

Abstract: Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.

公开(公告)号：US20220378337A1

公开(公告)日：2022-12-01

申请号：US17746743

申请日：2022-05-17

Applicant: Dexcom, Inc.

Inventor： Stephen Vanslyke ,  Arturo Garcia ,  Andrew Parker ,  Peter Simpson ,  Leif Bowman ,  David Price ,  Richard Kelley ,  Zebediah McDaniel ,  Andrew Pal ,  Nicholas Polytaridis ,  Sumi Mikami ,  Apurv Kamath ,  Lauren Jepson

IPC: A61B5/145 ,  G16H40/67 ,  A61B5/00 ,  G16H20/60

Abstract: In implementations of adaptive systems for continuous glucose monitoring (CGM), a computing device implements an adaptive system to receive glucose data describing user glucose values measured by a sensor of a CGM system, the sensor is inserted at an insertion site. The adaptive system accesses orientation data describing forces measured by an accelerometer of the CGM system, and the adaptive system identifies a location of the insertion site based on the orientation data. Modified glucose data is generated by modifying the user glucose values based on the location of the insertion site. The adaptive system generates an indication of the modified glucose data for display in a user interface of a display device.

公开(公告)号：US20210153787A1

公开(公告)日：2021-05-27

申请号：US17100589

申请日：2020-11-20

Applicant: DexCom, Inc.

Inventor： Andrew Parker ,  Neha Vyas ,  Christopher Hannemann

IPC: A61B5/145 ,  G16H10/60 ,  G16H50/70 ,  G16H50/20 ,  G16H40/67 ,  A61B5/00

Abstract: Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.

公开(公告)号：US20220361779A1

公开(公告)日：2022-11-17

申请号：US17746475

申请日：2022-05-17

Applicant: Dexcom, Inc.

Inventor： Andrew Parker ,  Mark Derdzinski ,  Lauren Jepson ,  Nathaniel Heintzman ,  Jacob Leach

IPC: A61B5/145 ,  A61B5/00

Abstract: In implementations of systems for determining a similarity of sequences of glucose values, a computing device implements a similarity system to receive input data describing a sequence of user glucose values measured by a continuous glucose monitoring (CGM) system. The similarity system computes similarity scores for a plurality of sequences of glucose values by comparing each glucose values included in the sequence of user glucose values with ever glucose value included in each sequence of the plurality of sequences. A particular sequence of glucose values that is associated with a highest similarity score is identified. The similarity system determines an externality associated with the particular sequence. The similarity system generates an indication of the externality for display in a user interface.

公开(公告)号：US20210153786A1

公开(公告)日：2021-05-27

申请号：US17100465

申请日：2020-11-20

Applicant: DexCom, Inc.

Inventor： Andrew Parker ,  Neha Vyas ,  Christopher Hannemann

IPC: A61B5/145 ,  A61B5/00

Abstract: Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.