公开(公告)号：US20230263439A1

公开(公告)日：2023-08-24

申请号：US18172752

申请日：2023-02-22

Applicant: Dexcom, Inc.

Inventor： Kevin Ka Wing CHENG ,  Devon M. HEADEN ,  Qi AN ,  Samir Sudhir DAMLE ,  Nicholas Vincent APOLLO ,  Sylvie LIONG ,  Hadley Faith VANRENTERGHEM ,  Mohamed R. HELAYHEL ,  Peter Charles SIMPSON ,  Spencer Troy FRANK

IPC: A61B5/1495 ,  A61B5/145

CPC classification number: A61B5/1495 ,  A61B5/14532 ,  A61B5/14546

Abstract: An apparatus includes an analyte sensor, a memory, and a processor. The processor monitors, using the analyte sensor, an analyte of a patient during a time period to obtain measured analyte data for the analyte and monitors other measured sensor data indicative of a physiological state of the patient during the time period. The processor also determines, based on the physiological state of the patient during the time period, expected analyte data for the analyte and determines a correction factor based on the expected analyte data and the measured analyte data. The correction factor is indicative of an error in calibration of the analyte sensor. The processor also determines whether recalibration of the analyte sensor is possible. If recalibration is possible, the processor recalibrates the analyte sensor based on the correction factor, and if recalibration is not possible, the processor recommends, to the patient, to replace the analyte sensor.

公开(公告)号：US20240293054A1

公开(公告)日：2024-09-05

申请号：US18663413

申请日：2024-05-14

Applicant: Dexcom, Inc.

Inventor： Kevin Ka Wing CHENG ,  Devon M. HEADEN ,  Qi AN ,  Samir Sudhir DAMLE ,  Nicholas Vincent APOLLO ,  Sylvie LIONG ,  Hadley Faith VANRENTERGHEM ,  Mohamed R. HELAYHEL ,  Peter Charles SIMPSON ,  Spencer Troy FRANK

IPC: A61B5/1495 ,  A61B5/145

CPC classification number: A61B5/1495 ,  A61B5/14532 ,  A61B5/14546

Abstract: The present disclosure describes a multi-analyte sensor system that detects wear location. The system includes a first sensor, a second sensor, a memory, and a processor communicatively coupled to the memory. The first sensor produces a first signal stream indicating a level of a first analyte, and the second sensor produces first physiological data. The processor determines, based on the first signal stream and the first physiological data, a wear location of the first sensor and makes an adjustment related to at least one of the first sensor or the first signal stream based on the wear location of the first sensor.

公开(公告)号：US20230186115A1

公开(公告)日：2023-06-15

申请号：US18066254

申请日：2022-12-14

Applicant: Dexcom, Inc.

Inventor： Afshan A. KLEINHANZL ,  Alexander Michael DIENER ,  Adam G. NOAR, JR. ,  Stacey Lynne FISCHER ,  Chad M. PATTERSON ,  Carly Rose OLSON ,  Michiko Araki KELLEY ,  Amit Premal JOSHIPURA ,  Spencer Troy FRANK ,  Qi AN ,  Abdulrahman JBAILY ,  Sophia PARK ,  Justin Yi-Kai LEE ,  Joost Herman VAN DER LINDEN ,  Mark DERDZINSKI

IPC: G06N5/022

CPC classification number: G06N5/022

Abstract: Systems, devices, and methods for data collection and development as well as providing user interaction policies are provided. In one embodiment, a method includes collecting contextual data for a first subset of a plurality of users. The method further includes generating a first set of contextual profiles for the first subset of the plurality of users based on the collected contextual data. Additionally, the method includes training one or more imputation models to develop the contextual data for the second subset of the plurality of users. The method also includes generating the contextual data for the second subset of the plurality of users using the one or more imputation models. Further, the method includes generating a second set of contextual profiles for the second subset of the plurality of users based on the generated contextual data for the second subset of the plurality of users.

公开(公告)号：US20240415467A1

公开(公告)日：2024-12-19

申请号：US18737684

申请日：2024-06-07

Applicant: Dexcom, Inc.

Inventor： Spencer Troy FRANK ,  Jee Hye PARK

IPC: A61B5/00 ,  A61B5/145 ,  G16H10/60

Abstract: A method for predicting a disease is provided. The method includes, at a continuous analyte monitoring (CAM) system, measuring analyte concentration levels of a user, generating sensor data packages based on the measured analyte concentration levels, and transmitting the sensor data packages. The method further includes, at a computing device, receiving the sensor data packages from the CAM system, determining an analyte feature combination from the measured analyte concentration levels, and generating a quantitative disease risk value based on the analyte feature combination. The quantitative disease risk value has a range from a minimum risk value to a maximum risk value.

公开(公告)号：US20240407735A1

公开(公告)日：2024-12-12

申请号：US18737642

申请日：2024-06-07

Applicant: Dexcom, Inc.

Inventor： Spencer Troy FRANK ,  Jee Hye PARK ,  Justin Yi-Kai LEE ,  Stephanie Grace MOORE

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

Abstract: A method for predicting gestational diabetes mellitus (GDM) is provided. The method includes, at a continuous analyte monitoring (CAM) system, measuring at least glucose concentration levels of a user, generating sensor data packages based on the measured glucose concentration levels, and transmitting the sensor data packages. The method also includes, at a computing device, receiving the sensor data packages from the CAM system, determining a glucose feature combination from the measured glucose concentration levels, and generating a GDM prediction based on the glucose feature combination. The method may also include generating a quantitative GDM risk value based on the glucose feature combination. The quantitative GDM risk value has a range from a minimum risk value to a maximum risk value.

公开(公告)号：US20240407734A1

公开(公告)日：2024-12-12

申请号：US18737588

申请日：2024-06-07

Applicant: Dexcom, Inc.

Inventor： Jee Hye PARK ,  Spencer Troy FRANK ,  David A. PRICE ,  Charles R. STROYECK ,  Arunachalam PANCH SANTHANAM ,  Joseph J. BAKER ,  Peter C. SIMPSON ,  Kazanna C. HAMES ,  Qi AN ,  Abdulrahman JBAILY ,  Justin Yi-Kai LEE ,  Stephanie Grace MOORE

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

Abstract: A method for predicting disease is provided. The method includes generating biased analyte data by adding analyte sensor bias to historical analyte data, associating the biased analyte data with clinical disease diagnoses associated with the historical analyte data, and extracting features from the biased analyte data. The method further includes, for each model of a number of models, generating disease predictions based on different combinations of the features extracted from the biased analyte data, and evaluating the disease predictions based on the clinical disease diagnoses associated with the biased analyte data. The method further includes selecting a model and a combination of features based on a performance metric and a robustness metric.

公开(公告)号：US20240298942A1

公开(公告)日：2024-09-12

申请号：US18663473

申请日：2024-05-14

Applicant: Dexcom, Inc.

Inventor： Kevin Ka Wing CHENG ,  Devon M. HEADEN ,  Qi AN ,  Samir Sudhir DAMLE ,  Nicholas Vincent APOLLO ,  Sylvie LIONG ,  Hadley Faith VANRENTERGHEM ,  Mohamed R. HELAYHEL ,  Peter Charles SIMPSON ,  Spencer Troy FRANK

IPC: A61B5/1495 ,  A61B5/145

CPC classification number: A61B5/1495 ,  A61B5/14532 ,  A61B5/14546

Abstract: The present disclosure describes a multi-analyte sensor system. The system includes a first sensor with a first enzyme for a first analyte, a second sensor with a second enzyme for a second analyte different from the first analyte, a potentiostat, a memory, and a processor communicatively coupled to the memory. The potentiostat applies a first voltage to the first sensor to cause a first current to flow through the first sensor and applies a second voltage to the second sensor to cause a second current to flow through the second sensor. The processor determines, based on the first current, a level of the first analyte and determines, based on the second current, a level of the second analyte.

公开(公告)号：US20240268725A1

公开(公告)日：2024-08-15

申请号：US18642713

申请日：2024-04-22

Applicant: Dexcom, Inc.

Inventor： Kevin Ka Wing CHENG ,  Devon M. HEADEN ,  Qi AN ,  Samir Sudhir DAMLE ,  Nicholas Vincent APOLLO ,  Sylvie LIONG ,  Hadley Faith VANRENTERGHEM ,  Mohamed R. HELAYHEL ,  Peter Charles SIMPSON ,  Spencer Troy FRANK

IPC: A61B5/1495 ,  A61B5/145

CPC classification number: A61B5/1495 ,  A61B5/14532 ,  A61B5/14546

Abstract: The present disclosure describes a multi-analyte sensor system that detects artifacts using multiple analytes. According to an embodiment, the multi-analyte sensor system includes a first analyte sensor, a second analyte sensor, and a sensor electronics module. The first analyte sensor produces a first analyte signal stream indicating a level of a first analyte. The second analyte sensor produces a second analyte signal stream indicating a level of a second analyte different from the first analyte. The sensor electronics module detects, based on the first analyte signal stream and the second analyte signal stream, at least one of a compression event or a dip and recover event and in response to detecting at least one of the compression event or the dip and recover event, make an adjustment related to at least one of the first analyte sensor or the first analyte signal stream based on the event.

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.