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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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5.
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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公开(公告)号:US10725652B2
公开(公告)日:2020-07-28
申请号:US15391366
申请日:2016-12-27
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.
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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9.
公开(公告)号:US20190298259A1
公开(公告)日:2019-10-03
申请号:US16440930
申请日:2019-06-13
申请人: DexCom, Inc.
发明人: Michael Robert Mensinger , Naresh C. Bhavaraju , Leif Bowman , Alexandra Lynn Carlton , David DeRenzy , Arturo Garcia , Indrawati Gauba , Ashley Hall , Thomas Hall , Hari Hampapuram , Murrad Kazalbash , Aarthi Mahalingam , Jack Pryor , Anna Leigh Davis , Eli Reihman , Kenneth San Vicente , Peter C. Simpson , Alexander Steele , Jorge Valdes , Michael J. Estes , Eric Cohen
摘要: The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health.
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公开(公告)号:US10406287B2
公开(公告)日:2019-09-10
申请号:US16029476
申请日:2018-07-06
申请人: DexCom, Inc.
发明人: Anna Leigh Davis , Scott M. Belliveau , Naresh C. Bhavaraju , Leif N. Bowman , Rita M. Castillo , Alexandra Elena Constantin , Rian Draeger , Laura J. Dunn , Gary Brian Gable , Arturo Garcia , Thomas Hall , Hari Hampapuram , Christopher Robert Hannemann , Anna Claire Harley-Trochimczyk , Nathaniel David Heintzman , Andrea J. Jackson , Lauren Hruby Jepson , Apurv Ullas Kamath , Katherine Yerre Koehler , Aditya Sagar Mandapaka , Samuel Jere Marsh , Gary A. Morris , Subrai Girish Pai , Andrew Attila Pal , Nicholas Polytaridis , Philip Thomas Pupa , Eli Reihman , Ashley Anne Rindfleisch , Sofie Wells Schunk , Peter C. Simpson , Daniel Smith , Stephen J. Vanslyke , Matthew T. Vogel , Tomas C. Walker , Benjamin Elrod West , Atiim Joseph Wiley
IPC分类号: A61M5/172 , G16H50/20 , G06N20/00 , A61B5/024 , A61B5/11 , A61B5/145 , A61B5/16 , A61B5/00 , G06F19/00 , G08B21/04 , H04M1/725 , G06N5/04 , G16H20/17 , G16H40/67 , G16H40/63
摘要: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.
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