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公开(公告)号：US20200205743A1
公开(公告)日：2020-07-02
申请号：US16721806
申请日：2019-12-19
Applicant: DexCom, Inc.
Inventor： Stephen D. Patek , Stephen J. Vanslyke
Abstract: An amount of glycemic dysfunction associated with mis-timing (e.g., delay) of meal boluses based on replay analysis is determined. The amount of dysfunction of historical or estimated bolusing as compared to an optimally timed bolus based on the replay analysis is quantified and visualized. Inferences may be made about diabetes meal management regarding inputs from a patient.
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102.发明申请公开(公告)号：US20200205704A1
公开(公告)日：2020-07-02
申请号：US16722476
申请日：2019-12-20
Applicant: DexCom, Inc.
Inventor： Stephen J. Vanslyke , Naresh C. Bhavaraju
Abstract: Systems and method are described for determining if a decision support recommendation is to be presented to a user for treatment of a diabetic state, including receiving a plurality of input data items impacting a diabetic state of a user of continuous glucose monitor, the input data items serving as input data to a process for determining a decision support recommendation; assigning a reliability level to each of the input data items; calculating a reliability metric based on the reliability levels assigned to each of the input data items; determining a decision support recommendation based on the process and the input data and presenting the decision support recommendation to the user on a user interface only if the reliability metric exceeds a threshold.
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公开(公告)号：US20200096495A1
公开(公告)日：2020-03-26
申请号：US16698498
申请日：2019-11-27
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Arturo Garcia , Hari Hampapuram , Apurv Ullas Kamath , Aarthi Mahalingam , Dmytro Sokolovskyy , Stephen J. Vanslyke
IPC: G01N33/487 , G16C20/80 , G16C99/00 , G01M99/00 , A61B5/145 , A61B5/1495 , G01N33/49 , G01N33/66 , A61B5/00
Abstract: Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.
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公开(公告)号：US10588557B2
公开(公告)日：2020-03-17
申请号：US15213259
申请日：2016-07-18
Applicant: DexCom, Inc.
Inventor： Michael J. Estes , Stephen J. Vanslyke , Apurv Ullas Kamath , Thomas A. Peyser , Lucas Bohnett , Aarthi Mahalingam , Arturo Garcia , Peter C. Simpson , Anna Leigh Davis , Sebastian Böhm
IPC: A61B5/00 , A61B5/145 , A61B5/1495 , G01D3/02 , G06F19/00
Abstract: Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously, for example, by initializing a sensor, acquiring sensor data, using the sensor, to measure an analyte level in the host's body over a first interval based on a first elapsed time since the sensor was implanted, determining whether the sensor has been previously used in a previous sensor session or the sensor is a new sensor, and upon determining the sensor is a new sensor, adjusting the acquired sensor data to compensate for sensor drift of the new sensor by applying a first set of time-dependent algorithmic functions to the sensor data associated with the first interval.
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公开(公告)号：US20190339223A1
公开(公告)日：2019-11-07
申请号：US16402116
申请日：2019-05-02
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Becky L. Clark , Vincent P. Crabtree , Chris W. Dring , Arturo Garcia , Jason Halac , Jonathan Hughes , Jeff Jackson , Lauren Hruby Jepson , David I-Chun Lee , Ted Tang Lee , Rui Ma , Zebediah L. McDaniel , Jason Mitchell , Andrew Attila Pal , Daiting Rong , Disha B. Sheth , Peter C. Simpson , Stephen J. Vanslyke , Matthew D. Wightlin , Anna Leigh Davis , Hari Hampapuram , Aditya Sagar Mandapaka , Alexander Leroy Teeter , Liang Wang
IPC: G01N27/327
Abstract: Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.
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Patent Agency Ranking
公开(公告)号：US20190339222A1
公开(公告)日：2019-11-07
申请号：US16402101
申请日：2019-05-02
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Becky L. Clark , Vincent P. Crabtree , Chris W. Dring , Arturo Garcia , Jason Halac , Jonathan Hughes , Jeff Jackson , Lauren Hruby Jepson , David I-Chun Lee , Ted Tang Lee , Rui Ma , Zebediah L. McDaniel , Jason Mitchell , Andrew Attila Pal , Daiting Rong , Disha B. Sheth , Peter C. Simpson , Stephen J. Vanslyke , Matthew D. Wightlin , Anna Leigh Davis , Hari Hampapuram , Aditya Sagar Mandapaka , Alexander Leroy Teeter , Liang Wang
IPC: G01N27/327
Abstract: Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.
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公开(公告)号：US20190328292A1
公开(公告)日：2019-10-31
申请号：US16504179
申请日：2019-07-05
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Michael A. Bloom , Leif N. Bowman , Alexandra Lynn Carlton , Katherine Yerre Koehler , Hari Hampapuram , Jonathan Hughes , Lauren Hruby Jepson , Apurv Ullas Kamath , Anna Leigh Rack-Gomer , Peter C. Simpson , Stephen J. Vanslyke
IPC: A61B5/145 , A61B5/00 , G16H40/63 , A61M5/172 , A61B5/1486 , A61B5/1455 , G16H40/40 , A61B5/1495
Abstract: Systems and methods described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user's interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.
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公开(公告)号：US20190261904A1
公开(公告)日：2019-08-29
申请号：US16407055
申请日：2019-05-08
Applicant: DexCom, Inc.
Inventor： Rui Ma , Naresh C. Bhavaraju , Thomas Stuart Hamilton , Jonathan Hughes , Jeff Jackson , David I-Chun Lee , Peter C. Simpson , Stephen J. Vanslyke
IPC: A61B5/1495 , A61B5/145 , G01N33/66
Abstract: Systems and methods are disclosed which provide for a “factory-calibrated” sensor. In doing so, the systems and methods include predictive prospective modeling of sensor behavior, and also include predictive modeling of physiology. With these two correction factors, a consistent determination of sensitivity can be achieved, thus achieving factory calibration.
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公开(公告)号：US10327687B2
公开(公告)日：2019-06-25
申请号：US15394658
申请日：2016-12-29
Applicant: DexCom, Inc.
Inventor： Rui Ma , Naresh C. Bhavaraju , Thomas Stuart Hamilton , Jonathan Hughes , Jeff Jackson , David I-Chun Lee , Peter C. Simpson , Stephen J. Vanslyke
IPC: A61B5/1495 , G01N33/66 , A61B5/145 , A61B5/1486
Abstract: Systems and methods are disclosed which provide for a “factory-calibrated” sensor. In doing so, the systems and methods include predictive prospective modeling of sensor behavior, and also include predictive modeling of physiology. With these two correction factors, a consistent determination of sensitivity can be achieved, thus achieving factory calibration.
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公开(公告)号：US10238323B2
公开(公告)日：2019-03-26
申请号：US14717904
申请日：2015-05-20
Applicant: DexCom, Inc.
Inventor： Stephen J. Vanslyke , Naresh C. Bhavaraju , Sebastian Böhm , Leif N. Bowman , Michael J. Estes , Arturo Garcia , Apurv Ullas Kamath , Andrew Attila Pal , Thomas A. Peyser , Anna Leigh Rack-Gomer , Daiting Rong , Disha B. Sheth , Peter C. Simpson , Dmytro Sokolovsky
IPC: A61B5/00 , A61B5/1495 , A61B5/01 , A61B5/11 , A61B5/053 , A61B5/145 , A61B5/1486 , A61B5/1473 , A61M5/172 , G06F19/00
Abstract: Systems and methods disclosed here provide ways to discriminate fault types encountered in analyte sensors and systems and further provide ways to process such discriminated faults responsively based on sensor data, clinical context information, and other data about the patient or patient's environment. The systems and methods thus employ clinical context in detecting and/or responding to errors or faults associated with an analyte sensor system, and discriminating the type of fault, and its root cause, particularly as fault dynamics can appear similar to the dynamics of physiological systems, emphasizing the importance of discriminating the fault and providing appropriate responsive processing. Thus, the disclosed systems and methods consider the context of the patient's health condition or state in determining how to respond to the fault.
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