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公开(公告)号：US12073075B2
公开(公告)日：2024-08-27
申请号：US15931374
申请日：2020-05-13
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Eric Cohen , Arturo Garcia , Katherine Yerre Koehler , Michael Robert Mensinger , Eli Reihman , Brian Christopher Smith , Peter Hedlund , Esteban Cabrera, Jr.
CPC classification number: G06F3/04883 , A61B5/0004 , A61B5/0022 , A61B5/14503 , A61B5/14532 , A61B5/486 , A61B5/681 , A61B5/6898 , A61B5/742 , A61B5/7435 , A61B5/7445 , A61B5/746 , A61B5/7475 , G06F1/163 , G06F1/1684 , G08B21/0453 , A61B5/0024 , A61B5/7275 , A61B5/7405 , A61B5/7455 , A61B2560/0209 , A61B2560/0295 , G08B21/043 , H04W4/80
Abstract: 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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132.发明公开公开(公告)号：US20240180425A1
公开(公告)日：2024-06-06
申请号：US18526849
申请日：2023-12-01
Applicant: Dexcom, Inc.
Inventor： Arturo Garcia , Peter C Simpson , Apurv U Kamath , Naresh C. Bhavaraju , Stephen J. Vanslyke
IPC: A61B5/00 , A61B5/11 , A61B5/145 , A61B5/1495
CPC classification number: A61B5/0031 , A61B5/14532 , A61B5/1495 , A61B5/7246 , A61B5/743 , A61B5/1118 , A61B5/14503 , A61B2560/0223 , A61B2560/0228
Abstract: Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.
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公开(公告)号：US11903697B2
公开(公告)日：2024-02-20
申请号：US14975437
申请日：2015-12-18
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Michael A. Bloom , Leif N. Bowman , Alexandra Lynn Carlton , Katherine Yerre Koehler , Hari Hampapuram , Lauren Hruby Jepson , Jonathan Hughes , Apurv Ullas Karnath , Anna Leigh Davis , Peter C. Simpson , Stephen J. Vanslyke
IPC: A61B5/145 , A61B5/1455 , A61B5/1486 , A61B5/00 , A61M5/172 , A61B5/1495 , G16H40/63 , G16H40/40
CPC classification number: A61B5/14532 , A61B5/0002 , A61B5/1455 , A61B5/1486 , A61B5/1495 , A61B5/14503 , A61B5/14546 , A61B5/7221 , A61B5/7275 , A61B5/7282 , A61B5/742 , A61B5/746 , A61B5/7435 , A61B5/7475 , A61M5/1723 , G16H40/40 , G16H40/63 , A61B5/0004 , A61B5/6898 , A61B5/72 , A61B2560/0223 , A61B2560/0487 , A61M2230/005 , A61M2230/201 , Y02A90/10
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：US11879887B2
公开(公告)日：2024-01-23
申请号：US17523673
申请日：2021-11-10
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 , A61B5/00 , G01M99/00 , A61B5/145 , A61B5/1495 , G01N33/49 , G01N33/66
CPC classification number: G01N33/48792 , A61B5/1495 , A61B5/14532 , A61B5/7221 , G01M99/008 , G01N33/49 , G01N33/66 , G16C20/80 , G16C99/00 , A61B2560/028 , A61B2560/0223 , A61B2560/0266 , A61B2560/0276
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：US20230380736A1
公开(公告)日：2023-11-30
申请号：US18205297
申请日：2023-06-02
Applicant: Dexcom, Inc.
Inventor： Naresh C. Bhavaraju , Sebastian Böhm , Robert Boock , Daiting Rong , Peter C. Simpson
IPC: A61B5/1495 , A61B5/1473 , A61B5/1459 , A61B5/00 , A61B5/145 , A61B5/1486
CPC classification number: A61B5/1495 , A61B5/1473 , A61B5/1459 , A61B5/7278 , A61B5/14532 , A61B5/7246 , A61B5/7221 , A61B5/14865 , A61B2562/04
Abstract: Disclosed herein are devices, systems, and methods for a continuous analyte sensor, such as a continuous glucose sensor. In certain embodiments disclosed herein, various in vivo properties of the sensor's surroundings can be measured. In some embodiments, the measured properties can be used to identify a physiological response or condition in the body. This information can then be used by a patient, doctor, or system to respond appropriately to the identified condition.
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Patent Agency Ranking
公开(公告)号：US20230371850A1
公开(公告)日：2023-11-23
申请号：US18356454
申请日：2023-07-21
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 , A61B5/1455 , A61B5/1486 , A61B5/00 , A61M5/172 , A61B5/1495 , G16H40/63 , G16H40/40
CPC classification number: A61B5/14532 , A61B5/1455 , A61B5/1486 , A61B5/746 , A61B5/7282 , A61B5/7221 , A61M5/1723 , A61B5/742 , A61B5/7475 , A61B5/14503 , A61B5/7435 , A61B5/1495 , G16H40/63 , G16H40/40 , A61B5/14546 , A61B5/0002 , A61B5/7275 , A61B2560/0223 , A61M2230/005 , A61M2230/201 , A61B2560/0487 , A61B5/72 , A61B5/6898 , A61B5/0004 , Y02A90/10
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：US20220137025A1
公开(公告)日：2022-05-05
申请号：US17523673
申请日：2021-11-10
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 , A61B5/00 , G01M99/00 , A61B5/145 , A61B5/1495 , G01N33/49 , G01N33/66
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：US20210260289A1
公开(公告)日：2021-08-26
申请号：US17114213
申请日：2020-12-07
Applicant: DexCom, Inc.
Inventor： 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
Abstract: 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：US20210260286A1
公开(公告)日：2021-08-26
申请号：US17114137
申请日：2020-12-07
Applicant: DexCom, Inc.
Inventor： 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
Abstract: 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：US11026640B1
公开(公告)日：2021-06-08
申请号：US17157623
申请日：2021-01-25
Applicant: DexCom, Inc.
Inventor： Hari Hampapuram , Anna Leigh Davis , Naresh C. Bhavaraju , Apurv Ullas Kamath , Claudio Cobelli , Giovanni Sparacino , Andrea Facchinetti , Chiara Zecchin
Abstract: 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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