公开(公告)号：US20240341693A1

公开(公告)日：2024-10-17

申请号：US18627989

申请日：2024-04-05

Applicant: Dexcom, Inc.

Inventor： Qi AN ,  Kevin CHENG ,  Anna C. HARLEY-TROCHIMCZYK ,  Avid NAJDAHMADI ,  Joshua Ray WINDMILLER ,  Hadley Faith VANRENTERGHEM ,  Mohamed R. HELAYHEL ,  Peter C. SIMPSON

IPC: A61B5/00 ,  A61B5/145

CPC classification number: A61B5/7221 ,  A61B5/0004 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/7203

Abstract: The present disclosure relates to methods and systems for predicting glycemic events in a patient induced as a result of physical activity. In certain aspects, a method includes monitoring a plurality of analytes of the patient continuously during a time period to obtain analyte signals, the plurality of analytes including at least glucose and lactate. The method further includes processing the analyte data from the time period to determine signal-to-noise ratios of the analyte signal. The method then compares the signal-to-noise ratios to each other to determine if a sensor in the continuous analyte monitoring system is non-responsive. In alternative embodiments, a reference signal is obtained and a reference signal-to-noise ratio is compared to the analyte signal-to-noise ratio to determine if a sensor in the continuous analyte monitoring system is non-responsive.

公开(公告)号：US20230263479A1

公开(公告)日：2023-08-24

申请号：US18052194

申请日：2022-11-02

Applicant: Dexcom, Inc.

Inventor： Matthew Lawrence JOHNSON ,  Samuel Isaac EPSTEIN ,  Sarah Kate PICKUS ,  Lauren Hruby JEPSON ,  Kevin CHENG ,  Spencer Troy FRANK ,  Qi AN ,  Devon M. HEADEN ,  Abdulrahman JBAILY

IPC: A61B5/00 ,  A61B5/11 ,  G16H20/00 ,  A61B5/155 ,  A61B5/145

CPC classification number: A61B5/7275 ,  A61B5/1118 ,  G16H20/00 ,  A61B5/7203 ,  A61B5/155 ,  A61B5/14532

Abstract: Certain aspects of the present disclosure relate to methods and systems for predicting glycemic events in a patient induced as a result of physical activity. In certain aspects, a method includes monitoring a plurality of analytes of the patient continuously during a time period to obtain analyte data, the plurality of analytes including at least glucose and lactate. The method further includes processing the analyte data from the time period to determine an intensity level of physical activity engaged by the patient during the time period. The method further includes generating a glycemic event prediction using at least the analyte data for the plurality of analytes and the determination of physical activity intensity. The method further includes generating one or more recommendations for treatment for the patient based, at least in part, on the glycemic event prediction.

公开(公告)号：US20240335168A1

公开(公告)日：2024-10-10

申请号：US18627759

申请日：2024-04-05

Applicant: Dexcom, Inc.

Inventor： Qi AN ,  Kevin CHENG ,  Devon M. HEADEN ,  Anita Hanzong SHIEH

IPC: A61B5/00 ,  A61B5/145 ,  A61B5/1473

CPC classification number: A61B5/7203 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/14735 ,  A61B5/6801 ,  A61B5/7405 ,  A61B5/742 ,  A61B5/7455 ,  A61B2560/045 ,  A61B2560/0468

Abstract: The present disclosure describes a continuous analyte monitoring system that may monitor, generate, and analyze data for analytes (e.g., glucose and/or lactate) and non-enzymes simultaneously. In certain aspects, an analyte sensor system includes a first electrode, a second electrode, and a sensor electronics module. The first electrode generates a first analyte signal stream. The second electrode generates a non-enzyme signal stream indicating a level of a non-enzyme over time. The sensor electronics module determines a level of a first analyte based on the first analyte signal stream and adjusts the level of the first analyte based on the non-enzyme signal stream.