公开(公告)号：US20240180460A1

公开(公告)日：2024-06-06

申请号：US18442924

申请日：2024-02-15

Applicant: Dexcom, Inc.

Inventor： Apurv U. Kamath ,  John Michael Dobbles ,  Aarthi Mahalingam

IPC: A61B5/1477 ,  A61B5/00 ,  A61B5/145 ,  A61B5/1486 ,  A61B5/1495

CPC classification number: A61B5/1477 ,  A61B5/0004 ,  A61B5/14532 ,  A61B5/14865 ,  A61B5/1495 ,  A61B5/6833 ,  A61B5/7203 ,  A61B5/725 ,  A61B5/7264 ,  A61B5/7275 ,  A61B5/7278 ,  A61B5/742 ,  A61B5/743

Abstract: Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

公开(公告)号：US20240081693A1

公开(公告)日：2024-03-14

申请号：US18514803

申请日：2023-11-20

Applicant: Dexcom, Inc.

Inventor： Apurv U. Kamath ,  Jack Pryor ,  Paul Goode ,  James H. Brauker ,  Aarthi Mahalingam

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

CPC classification number: A61B5/14532 ,  A61B5/0002 ,  A61B5/0004 ,  A61B5/0031 ,  A61B5/05 ,  A61B5/1411 ,  A61B5/14503 ,  A61B5/14507 ,  A61B5/1451 ,  A61B5/14514 ,  A61B5/14546 ,  A61B5/1473 ,  A61B5/14735 ,  A61B5/1486 ,  A61B5/14865 ,  A61B5/1495 ,  A61B5/6801 ,  A61B5/6833 ,  A61B5/68335 ,  A61B5/6848 ,  A61B5/6849 ,  A61B5/72 ,  A61B17/3468 ,  A61B5/150022 ,  A61M5/1723

Abstract: Systems and methods for processing sensor analyte data are disclosed, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. The sensor can be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. Reference data resulting from benchtop testing an analyte sensor prior to its insertion can be used to provide initial calibration of the sensor data. Reference data from a short term continuous analyte sensor implanted in a user can be used to initially calibrate or update sensor data from a long term continuous analyte sensor.

公开(公告)号：US20230136188A1

公开(公告)日：2023-05-04

申请号：US17974296

申请日：2022-10-26

Applicant: Dexcom, Inc.

Inventor： Sarah Kate Pickus ,  Margaret A. Crawford ,  Mark Derdzinski ,  Lauren H. Jepson ,  Robert J. Dowd ,  Giada Acciaroli ,  Apurv U. Kamath

IPC: A61B5/00 ,  A61B5/145 ,  A61B5/11

Abstract: Glucose level measurements and additional data regarding a user are obtained over time, such as from a wearable glucose monitoring device being worn by the user. This additional data identifies events or conditions that may affect glucose of the user, such as physical activity engaged in by the user. A glucose prediction system analyzes, for example, activity data of the user and determines when a bout of physical activity occurs. The glucose prediction system predicts what the glucose measurements of the user would have been had the physical activity not occurred, and takes various actions based on the predicted glucose measurements (e.g., provides feedback to the user indicating what their glucose would have been had they not engaged in the physical activity).

公开(公告)号：US09724045B1

公开(公告)日：2017-08-08

申请号：US15481347

申请日：2017-04-06

Applicant: DexCom, Inc.

Inventor： Paul V. Goode, Jr. ,  James H. Brauker ,  Apurv U. Kamath ,  James Patrick Thrower ,  Victoria Carr-Brendel

IPC: A61B5/00 ,  A61B5/145 ,  A61B5/1486 ,  A61B5/1495

CPC classification number: A61B5/7203 ,  A61B5/0004 ,  A61B5/0031 ,  A61B5/14532 ,  A61B5/14539 ,  A61B5/14542 ,  A61B5/1473 ,  A61B5/14865 ,  A61B5/1495 ,  A61B5/7225 ,  A61B5/7257 ,  A61B5/726 ,  A61B5/7278 ,  A61B5/742 ,  A61B5/7475 ,  A61B2560/0223 ,  A61B2562/0247 ,  A61B2562/0271 ,  A61B2562/08

Abstract: Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as ischemia, pH changes, temperatures changes, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system replaces some or the entire data stream continually or intermittently including signal estimation methods that particularly address transient signal artifacts. The system is also capable of detecting the severity of the signal artifacts and selectively applying one or more signal estimation algorithm factors responsive to the severity of the signal artifacts, which includes selectively applying distinct sets of parameters to a signal estimation algorithm or selectively applying distinct signal estimation algorithms.