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公开(公告)号：US11193924B2
公开(公告)日：2021-12-07
申请号：US16698498
申请日：2019-11-27
申请人： DexCom, Inc.
发明人： Naresh C. Bhavaraju , Arturo Garcia , Hari Hampapuram , Apurv Ullas Kamath , Aarthi Mahalingam , Dmytro Sokolovskyy , Stephen J. Vanslyke
IPC分类号： G01N33/487 , G16C20/80 , G16C99/00 , A61B5/00 , G01M99/00 , A61B5/145 , A61B5/1495 , G01N33/49 , G01N33/66
摘要： 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：US20210330219A1
公开(公告)日：2021-10-28
申请号：US17368541
申请日：2021-07-06
申请人： DexCom, Inc.
发明人： Rui Ma , Naresh C. Bhavaraju , Thomas Stuart Hamilton , Jonathan Hughes , Jeff Jackson , David I-Chun Lee , Peter C. Simpson , Stephen J. Vanslyke
IPC分类号： A61B5/1495 , A61B5/145 , G01N33/66
摘要： 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：US20210260287A1
公开(公告)日：2021-08-26
申请号：US17114142
申请日：2020-12-07
申请人： DexCom, Inc.
发明人： Apurv Ullas Kamath , Derek James Escobar , Sumitaka Mikami , Hari Hampapuram , Benjamin Elrod West , Nathanael Paul , Naresh C. Bhavaraju , Michael Robert Mensinger , Gary A. Morris , Andrew Attila Pal , Eli Reihman , Scott M. Belliveau , Katherine Yerre Koehler , Nicholas Polytaridis , Rian Draeger , Jorge Valdes , David Price , Peter C. Simpson , Edward Sweeney
摘要： Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.
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公开(公告)号：US11051731B2
公开(公告)日：2021-07-06
申请号：US16911172
申请日：2020-06-24
申请人： DexCom, Inc.
发明人： Rui Ma , Naresh C. Bhavaraju , Thomas Stuart Hamilton , Jonathan Hughes , Jeff Jackson , David I-Chun Lee , Peter C. Simpson , Stephen J. Vanslyke
IPC分类号： A61B5/1495 , A61B5/145 , G01N33/66 , A61B5/1486
摘要： 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：US20210145371A1
公开(公告)日：2021-05-20
申请号：US17157623
申请日：2021-01-25
申请人： DexCom, Inc.
发明人： Hari Hampapuram , Anna Leigh Davis , Naresh C. Bhavaraju , Apurv Ullas Kamath , Claudio Cobelli , Giovanni Sparacino , Andrea Facchinetti , Chiara Zecchin
摘要： Systems and methods for providing sensitive and specific alarms indicative of glycemic condition are provided herein. In an embodiment, a method of processing sensor data by a continuous analyte sensor includes: evaluating sensor data using a first function to determine whether a real time glucose value meets a first threshold; evaluating sensor data using a second function to determine whether a predicted glucose value meets a second threshold; activating a hypoglycemic indicator if either the first threshold is met or if the second threshold is predicted to be met; and providing an output based on the activated hypoglycemic indicator.
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公开(公告)号：US20210142912A1
公开(公告)日：2021-05-13
申请号：US17144017
申请日：2021-01-07
申请人： DexCom, Inc.
发明人： Scott M. Belliveau , Naresh C. Bhavaraju , Darin Edward Chum Dew , Eric Cohen , Anna Leigh Davis , Mark Dervaes , Laura J. Dunn , Minda McDorman Grucela , Hari Hampapuram , Matthew Lawrence Johnson , Apurv Ullas Kamath , Steven David King , Katherine Yerre Koehler , Aditya Sagar Mandapaka , Zebediah L. McDaniel , Sumitaka Mikami , Subrai Girish Pai , Philip Mansiel Pellouchoud , Stephen Alan Reichert , Eli Reihman , Peter C. Simpson , Brian Christopher Smith , Stephen J. Vanslyke , Robert Patrick Van Tassel , Matthew D. Wightlin , Richard C. Yang , James Stephen Amidei , David Derenzy , Benjamin Elrod West , Vincent Crabtree , Michael Levozier Moore , Douglas William Burnette , Alexandra Elena Constantin , Nicholas Polytaridis , Dana Charles Cambra , Abhishek Sharma , Kho Braun , Patrick Wile McBride
IPC分类号： G16H50/30 , G16H80/00 , A61B5/145 , A61B5/00 , A61M5/142 , G16H40/63 , A43B3/00 , G16H20/17 , G16H50/20 , A61M5/172 , H04W12/037 , H04W12/065 , H04W12/06 , H04W12/069
摘要： Systems and methods disclosed provide ways for Health Care Professionals (HCPs) to be involved in initial patient system set up so that the data received is truly transformative, such that the patient not just understands what all the various numbers mean but also how the data can be used. For example, in one implementation, a CGM device is configured for use by a HCP, and includes a housing and a circuit configured to receive a signal from a transmitter coupled to an indwelling glucose sensor. A calibration module converts the received signal into clinical units. A user interface is provided that is configured to display a measured glucose concentration in the clinical units. The user interface is further configured to receive input data about a patient level, where the input data about the patient level causes the device to operate in a mode appropriate to the patient level.
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公开(公告)号：US20200272319A1
公开(公告)日：2020-08-27
申请号：US15931374
申请日：2020-05-13
申请人： DexCom, Inc.
发明人： Naresh C. Bhavaraju , Eric Cohen , Arturo Garcia , Katherine Yerre Koehler , Michael Robert Mensinger , Eli Reihman , Brian Christopher Smith , Peter Hedlund , Esteban Cabrera, JR.
IPC分类号： G06F3/0488 , G08B21/04 , A61B5/145 , A61B5/00 , G06F1/16
摘要： A system, a method, and a computer program product for providing wearable continuous blood glucose monitoring. In some embodiments, there is provided a method that includes receiving, at a smartwatch, an alert representative of a glucose state of a host-patient coupled to a glucose sensor; detecting, at the smartwatch, a predetermined action indicative of a request to generate a glance view providing an indication of the glucose state of the host-patient; and presenting, at the smartwatch and in response to the detecting, the glance view providing the indication of the glucose state of the host-patient.
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公开(公告)号：US10729364B2
公开(公告)日：2020-08-04
申请号：US16407055
申请日：2019-05-08
申请人： DexCom, Inc.
发明人： Rui Ma , Naresh C. Bhavaraju , Thomas Stuart Hamilton , Jonathan Hughes , Jeff Jackson , David I-Chun Lee , Peter C. Simpson , Stephen J. Vanslyke
IPC分类号： A61B5/1495 , A61B5/145 , G01N33/66 , A61B5/1486
摘要： 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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99.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
申请人： DexCom, Inc.
摘要： 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
申请人： DexCom, Inc.
发明人： Naresh C. Bhavaraju , Arturo Garcia , Hari Hampapuram , Apurv Ullas Kamath , Aarthi Mahalingam , Dmytro Sokolovskyy , Stephen J. Vanslyke
IPC分类号： G01N33/487 , G16C20/80 , G16C99/00 , G01M99/00 , A61B5/145 , A61B5/1495 , G01N33/49 , G01N33/66 , A61B5/00
摘要： 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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