公开(公告)号：US20250032007A1

公开(公告)日：2025-01-30

申请号：US18913191

申请日：2024-10-11

Applicant: Dexcom, Inc.

Inventor： Alexandra Elena CONSTANTIN ,  Scott M. BELLIVEAU ,  Naresh C. BHAVARAJU ,  Jennifer D. BLACKWELL ,  Eric S. COHEN ,  Basab DATTARAY ,  Anna Leigh DAVIS ,  Rian W. DRAEGER ,  Arturo GARCIA ,  John Michael GRAY ,  Hari HAMPAPURAM ,  Nathaniel David HEINTZMANN ,  Lauren Hruby JEPSON ,  Matthew Lawrence JOHNSON ,  Apurv Ullas KAMATH ,  Katherine Yerre KOEHLER ,  Phil MAYOU ,  Patrick Wile MCBRIDE ,  Michael Robert MENSINGER ,  Sumitaka MIKAMI ,  Andrew Attila PAL ,  Nicholas POLYTARIDIS ,  Philip Thomas PUPA ,  Eli REIHMAN ,  Peter C. SIMPSON ,  Tomas C. WALKER ,  Daniel Justin WIEDEBACK ,  Subrai Girish PAI ,  Matthew T. VOGEL

IPC: A61B5/145 ,  A61B5/00 ,  A61B5/01 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/08 ,  A61B5/11 ,  G06N5/045 ,  G06N20/00 ,  G16H50/20 ,  G16H70/20

Abstract: Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.

公开(公告)号：US20230352171A1

公开(公告)日：2023-11-02

申请号：US18346120

申请日：2023-06-30

Applicant: Dexcom, Inc.

Inventor： Michael Robert MENSINGER ,  Eric COHEN ,  Basab DATTARAY ,  Hari HAMPAPURAM ,  Apurv Ullas KAMATH ,  Stephen M. MADIGAN ,  Phil MAYOU

IPC: G16H40/67 ,  G06F21/62 ,  G16H10/60 ,  H04M1/72412 ,  A61B5/00 ,  A61B5/145 ,  A61B5/1495 ,  H04L43/04 ,  H04L43/065 ,  H04L67/12 ,  G08B21/02 ,  H04L67/10

CPC classification number: G16H40/67 ,  G06F21/6245 ,  G16H10/60 ,  H04M1/72412 ,  A61B5/0004 ,  A61B5/14503 ,  A61B5/14532 ,  A61B5/1495 ,  A61B5/742 ,  H04L43/04 ,  H04L43/065 ,  H04L67/12 ,  A61B5/14507 ,  A61B5/7445 ,  G08B21/0211 ,  H04L67/10 ,  H04W88/02

Abstract: The present disclosure relates to techniques for receiving glucose data from a continuous glucose sensor and controlling the use and redistribution of that data so it is used in an intended manner. In one aspect, a system includes a plurality of continuous glucose monitor (CGM) devices; a plurality of display devices to receive data from the CGM devices classified into a plurality of classifications based on data type; a cloud server architecture to receive the data from the display devices on an intermittent basis, in which the data routed to a particular server of the plurality of servers is determined by the data type, and in which the intermittent basis varies depending upon data type; a plurality of remote monitor display devices; and an analysis and report engine.

公开(公告)号：US20240296948A1

公开(公告)日：2024-09-05

申请号：US18662023

申请日：2024-05-13

Applicant: Dexcom, Inc.

Inventor： Naresh C. BHAVARAJU ,  Arturo GARCIA ,  Phil MAYOU ,  Thomas A. PEYSER ,  Apurv Ullas KAMATH ,  Aarthi MAHALINGAM ,  Kevin SAYER ,  Thomas HALL ,  Michael Robert MENSINGER ,  Hari HAMPAPURAM ,  David PRICE ,  Jorge VALDES ,  Murrad KAZALBASH

IPC: G16H40/67 ,  A61M5/142 ,  A61M5/172 ,  G01N33/49 ,  G16H15/00 ,  G16H20/17 ,  G16H40/63 ,  G16H50/00 ,  G16H50/30

CPC classification number: G16H40/67 ,  A61M5/142 ,  A61M5/1723 ,  G01N33/49 ,  G16H15/00 ,  G16H20/17 ,  G16H40/63 ,  G16H50/00 ,  G16H50/30

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

公开(公告)号：US20230248273A1

公开(公告)日：2023-08-10

申请号：US18190831

申请日：2023-03-27

Applicant: Dexcom, Inc.

Inventor： Phil MAYOU ,  Hari HAMPAPURAM ,  David A. PRICE ,  Keri J. LEONE ,  Kostyantyn SNISARENKO ,  Michael Robert MENSINGER ,  Leif N. BOWMAN ,  Robert J. BOOCK ,  Apurv Ullas KAMATH ,  Eli REIHMAN ,  Peter C. SIMPSON

IPC: A61B5/145 ,  G16H50/70 ,  G16H50/20 ,  G16H15/00

CPC classification number: A61B5/14532 ,  G16H50/70 ,  G16H50/20 ,  G16H15/00 ,  Y02A90/10

Abstract: Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

公开(公告)号：US20230170090A1

公开(公告)日：2023-06-01

申请号：US18163255

申请日：2023-02-01

Applicant: Dexcom, Inc.

Inventor： Naresh C. BHAVARAJU ,  Arturo GARCIA ,  Phil MAYOU ,  Thomas A. PEYSER ,  Apurv Ullas KAMATH ,  Aarthi MAHALINGAM ,  Kevin SAYER ,  Thomas HALL ,  Michael Robert MENSINGER ,  Hari HAMPAPURAM ,  David PRICE ,  Jorge VALDES ,  Murrad KAZALBASH

IPC: G16H40/67 ,  A61M5/172 ,  A61M5/142 ,  G16H40/63 ,  G16H50/30 ,  G16H15/00 ,  G16H20/17 ,  G01N33/49 ,  G16H50/00

CPC classification number: G16H40/67 ,  A61M5/1723 ,  A61M5/142 ,  G16H40/63 ,  G16H50/30 ,  G16H15/00 ,  G16H20/17 ,  G01N33/49 ,  G16H50/00

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.