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公开(公告)号：US11872034B2
公开(公告)日：2024-01-16
申请号：US17114190
申请日：2020-12-07
申请人： DexCom, Inc.
IPC分类号： A61B5/145 , A61B5/00 , A61M5/172 , A61M5/142 , G16H20/17 , G16H40/67 , G06N20/00 , H04W12/037 , H04L9/30 , G06N20/20 , G16H10/60 , G16H50/30 , G16H50/20 , H04W12/033
CPC分类号： A61B5/14532 , A61B5/0004 , A61B5/425 , A61B5/6801 , A61B5/743 , A61B5/7475 , A61M5/14244 , A61M5/1723 , G06N20/00 , G06N20/20 , G16H10/60 , G16H20/17 , G16H40/67 , G16H50/20 , G16H50/30 , H04L9/30 , H04W12/033 , H04W12/037 , A61M2205/18 , A61M2205/3553 , A61M2205/3584 , A61M2205/3592 , A61M2205/502 , A61M2205/52 , A61M2205/581 , A61M2205/582 , A61M2205/583 , A61M2205/8206 , A61M2230/201
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：US11714060B2
公开(公告)日：2023-08-01
申请号：US16402124
申请日：2019-05-02
申请人： DexCom, Inc.
发明人： 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分类号： G01N27/32 , G01N27/327 , A61B5/145 , A61B5/1495
CPC分类号： G01N27/3274 , A61B5/1495 , A61B5/14532 , A61B2560/0223
摘要： 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：US20230210411A1
公开(公告)日：2023-07-06
申请号：US18176264
申请日：2023-02-28
申请人： Dexcom, Inc.
发明人： 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分类号： A61B5/145 , A61B5/00 , A61B5/1495 , A61B5/1486 , G16H40/40 , A61M5/172 , G16H40/63 , A61B5/1455
CPC分类号： A61B5/14532 , A61B5/0002 , A61B5/742 , A61B5/746 , A61B5/1455 , A61B5/1486 , A61B5/1495 , A61B5/7221 , A61B5/7275 , A61B5/7282 , A61B5/7435 , A61B5/7475 , A61B5/14503 , A61B5/14546 , A61M5/1723 , G16H40/40 , G16H40/63 , A61B5/0004 , A61B5/72 , A61B5/6898 , A61B2560/0223 , A61B2560/0487 , A61M2230/005 , A61M2230/201 , Y02A90/10
摘要： 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：US11504004B2
公开(公告)日：2022-11-22
申请号：US16783107
申请日：2020-02-05
申请人： DexCom, Inc.
发明人： Arturo Garcia , Peter C. Simpson , Apurv Ullas Kamath , Naresh C. Bhavaraju , Stephen J. Vanslyke
IPC分类号： A61B5/00 , A61B5/145 , A61B5/1495 , A61B5/11
摘要： 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：US20210260288A1
公开(公告)日：2021-08-26
申请号：US17114190
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：US20210259591A1
公开(公告)日：2021-08-26
申请号：US17114254
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：US20210085223A1
公开(公告)日：2021-03-25
申请号：US17108922
申请日：2020-12-01
申请人： DexCom, Inc.
发明人： Thomas A. Peyser , Naresh C. Bhavaraju , Leif N. Bowman , Apurv Ullas Kamath , Aarthi Mahalingam , Jack Pryor , Peter C. Simpson
IPC分类号： A61B5/1495 , A61B5/1473 , A61B5/1459 , A61B5/00 , A61B5/145 , A61B5/1486
摘要： Devices, systems, and methods for providing more accurate and reliable sensor data and for detecting sensor failures. Two or more electrodes can be used to generate data, and the data can be subsequently compared by a processing module. Alternatively, one sensor can be used, and the data processed by two parallel algorithms to provide redundancy. Sensor performance, including sensor failures, can be identified. The user or system can then respond appropriately to the information related to sensor performance or failure.
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8.发明申请公开(公告)号：US20200305804A1
公开(公告)日：2020-10-01
申请号：US16884593
申请日：2020-05-27
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：US20200281511A1
公开(公告)日：2020-09-10
申请号：US16882334
申请日：2020-05-22
申请人： DexCom, Inc.
IPC分类号： A61B5/1495 , A61B5/1473 , A61B5/1459 , A61B5/00 , A61B5/145 , A61B5/1486
摘要： 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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公开(公告)号：US20200245914A1
公开(公告)日：2020-08-06
申请号：US16852352
申请日：2020-04-17
申请人： DexCom, Inc.
发明人： Naresh C. Bhavaraju , Michael A. Bloom , Leif N. Bowman , Alexandra Lynn Carlton , Katherine Yerre Koehler , Hari Hampapuram , Lauren Hruby Jepson , Jonathan Hughes , Apurv Ullas Kamath , Anna Leigh Davis , Peter C. Simpson , Stephen J. Vanslyke
IPC分类号： A61B5/145 , A61B5/1455 , A61B5/1486 , A61B5/00 , A61M5/172 , A61B5/1495 , G16H40/63 , G16H40/40
摘要： 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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