公开(公告)号：US20220000432A1

公开(公告)日：2022-01-06

申请号：US17448317

申请日：2021-09-21

Applicant: DexCom, Inc.

Inventor： Esteban Cabrera, JR. ,  Lauren Danielle Armenta ,  Scott M. Belliveau ,  Jennifer Blackwell ,  Leif N. Bowman ,  Rian Draeger ,  Arturo Garcia ,  Timothy Joseph Goldsmith ,  John Michael Gray ,  Andrea Jean Jackson ,  Apurv Ullas Kamath ,  Katherine Yerre Koehler ,  Paul Kramer ,  Aditya Sagar Mandapaka ,  Michael Robert Mensinger ,  Sumitaka Mikami ,  Gary A. Morris ,  Hemant Mahendra Nirmal ,  Paul Noble-Campbell ,  Philip Thomas Pupa ,  Eli Reihman ,  Peter C. Simpson ,  Brian Christopher Smith ,  Atiim Joseph Wiley

IPC: A61B5/00 ,  G06F1/16 ,  G06F3/0484 ,  G16H15/00 ,  G16H40/67 ,  G16H50/20 ,  G16H70/40 ,  G16H50/30 ,  G16H40/63 ,  A61B5/145 ,  G06F3/0488 ,  G06F17/18

Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.

公开(公告)号：US11183298B2

公开(公告)日：2021-11-23

申请号：US16387288

申请日：2019-04-17

Applicant: DexCom, Inc.

Inventor： Anna Leigh Davis ,  Scott M. Belliveau ,  Esteban Cabrera, Jr. ,  Alexandra Elena Constantin ,  Rian Draeger ,  Peter Galuardi ,  Hari Hampapuram ,  Matthew Lawrence Johnson ,  Apurv Ullas Kamath ,  Katherine Yerre Koehler ,  Aarthi Mahalingam ,  Gary A. Morris ,  Philip Thomas Pupa ,  Peter C. Simpson ,  Brian Christopher Smith ,  Tomas C. Walker

IPC: G16H40/63 ,  G16H80/00 ,  G16H40/67 ,  G16H20/17 ,  G16H10/60 ,  G16H50/30 ,  G16H20/30 ,  G16H20/60 ,  A61M5/172 ,  G06F21/44 ,  G16H10/20 ,  G06F21/60 ,  G06F21/62 ,  A61M5/142 ,  G16H20/70

Abstract: Disclosed are systems and methods for secure and seamless set up and modification of bolus calculator parameters for a bolus calculator tool by a health care provider (HCP). In one aspect, a method for enabling HCP set up of a bolus calculator includes providing a server accessible by both an HCP and a patient; upon login by the HCP, displaying, or transmitting for display, a fillable form, the fillable form including one or more fields for entry of one or more bolus calculator parameters; receiving data from the fillable form, the data corresponding to one or more bolus calculator parameters; and upon login by the patient, transmitting data to a device associated with the patient, the transmitted data based on the received data, where the transmitted data corresponds to one or more of the bolus calculator parameters in a format suitable for entry to a bolus calculator.

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.

Inventor： Peter C. Simpson ,  Margaret Anne Crawford ,  Matthew Lawrence Johnson ,  Neha Vyas ,  Apurv Ullas Kamath

IPC: G16H50/70 ,  G16H70/20 ,  G16H40/67 ,  A61B5/145

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.

公开(公告)号：US20210316070A1

公开(公告)日：2021-10-14

申请号：US17202845

申请日：2021-03-16

Applicant: DexCom, Inc.

Inventor： Gary A. Morris ,  Scott M. Belliveau ,  Esteban Cabrera, JR. ,  Rian Draeger ,  Laura J. Dunn ,  Timothy Joseph Goldsmith ,  Hari Hampapuram ,  Christopher Robert Hannemann ,  Apurv Ullas Kamath ,  Katherine Yerre Koehler ,  Patrick Wile McBride ,  Michael Robert Mensinger ,  Francis William Pascual ,  Philip Mansiel Pellouchoud ,  Nicholas Polytaridis ,  Philip Thomas Pupa ,  Anna Leigh Davis ,  Kevin Shoemaker ,  Brian Christopher Smith ,  Benjamin Elrod West ,  Atiim Joseph Wiley

IPC: A61M5/172 ,  G08B21/04 ,  A61B5/145 ,  A61B5/00 ,  H04L29/06 ,  G06F9/54 ,  G06F16/955 ,  G06F16/22 ,  G06F21/60 ,  G08B25/08 ,  G16H40/63 ,  H04L9/08 ,  G16H20/17 ,  G16H10/60 ,  H04M1/72409 ,  H04M1/72412 ,  H04W12/084 ,  H04L9/06 ,  H04L9/14 ,  H04L9/30

Abstract: Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.

公开(公告)号：US20210260288A1

公开(公告)日：2021-08-26

申请号：US17114190

申请日：2020-12-07

Applicant: DexCom, Inc.

Inventor： Apurv Ullas Kamath ,  Derek James Escobar ,  Sumitaka Mikami ,  Hari Hampapuram ,  Benjamin Elrod West ,  Nathanael Paul ,  Naresh C. Bhavaraju ,  Michael Robert Mensinger ,  Gary A. Morris ,  Andrew Attila Pal ,  Eli Reihman ,  Scott M. Belliveau ,  Katherine Yerre Koehler ,  Nicholas Polytaridis ,  Rian Draeger ,  Jorge Valdes ,  David Price ,  Peter C. Simpson ,  Edward Sweeney

IPC: A61M5/172 ,  G16H20/17 ,  G16H40/67 ,  G16H50/30 ,  G16H50/20 ,  G16H10/60 ,  H04W12/033

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

公开(公告)号：US20210259591A1

公开(公告)日：2021-08-26

申请号：US17114254

申请日：2020-12-07

Applicant: DexCom, Inc.

Inventor： Apurv Ullas Kamath ,  Derek James Escobar ,  Sumitaka Mikami ,  Hari Hampapuram ,  Benjamin Elrod West ,  Nathanael Paul ,  Naresh C. Bhavaraju ,  Michael Robert Mensinger ,  Gary A. Morris ,  Andrew Attila Pal ,  Eli Reihman ,  Scott M. Belliveau ,  Katherine Yerre Koehler ,  Nicholas Polytaridis ,  Rian Draeger ,  Jorge Valdes ,  David Price ,  Peter C. Simpson ,  Edward Sweeney

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

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

公开(公告)号：US20210251533A1

公开(公告)日：2021-08-19

申请号：US17246500

申请日：2021-04-30

Applicant: DexCom, Inc.

Inventor： Peter C. Simpson ,  James H. Brauker ,  Mark C. Brister ,  Paul V. Goode, JR. ,  Apurv Ullas Kamath ,  Aarthi Mahalingam ,  Jack Pryor ,  Matthew D. Wightlin

IPC: A61B5/145 ,  A61B5/1473 ,  A61B5/1486 ,  A61B5/00 ,  A61B5/1495 ,  A61B5/15 ,  A61B5/05 ,  A61B17/34

Abstract: The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.

公开(公告)号：US20210186383A1

公开(公告)日：2021-06-24

申请号：US17132664

申请日：2020-12-23

Applicant: DexCom, Inc.

Inventor： Peter C. Simpson ,  Ying Li ,  Apurv Ullas Kamath ,  Richard C. Yang

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

Abstract: Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.

公开(公告)号：US20210183508A1

公开(公告)日：2021-06-17

申请号：US17114211

申请日：2020-12-07

Applicant: DexCom, Inc.

Inventor： Andrew Scott Parker ,  Annika Emilie Kristina Jimenez ,  Chad Patterson ,  Subrai Girish Pai ,  Apurv Ullas Kamath

IPC: G16H40/67 ,  G16H10/60 ,  G16H50/70 ,  G16H50/50 ,  G16H50/30 ,  G16H50/20 ,  G06Q30/02 ,  A61B5/145 ,  A61B5/00 ,  A61B5/16

Abstract: Multi-state engagement with continuous glucose monitoring (CGM) systems is 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 packages of glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform generates state information for the user by processing these CGM packages and the additional data, at least in part, by using one or more models. Based on this state information, the data analytics platform controls communication with the user, which may include generating intervention strategies to prevent users from transitioning to a negative state such as discontinuing use of the CGM system.

公开(公告)号：US20210177316A1

公开(公告)日：2021-06-17

申请号：US17114182

申请日：2020-12-07

Applicant: DexCom, Inc.

Inventor： Andrew Scott Parker ,  Annika Emilie Kristina Jimenez ,  Chad Patterson ,  Subrai Girish Pai ,  Apurv Ullas Kamath

IPC: A61B5/145 ,  A61B5/00

Abstract: Multi-state engagement with continuous glucose monitoring (CGM) systems is 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 packages of glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform generates state information for the user by processing these CGM packages and the additional data, at least in part, by using one or more models. Based on this state information, the data analytics platform controls communication with the user, which may include generating intervention strategies to prevent users from transitioning to a negative state such as discontinuing use of the CGM system.