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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
Applicant: DexCom, Inc.
Inventor： Derek James Escobar , Naresh C. Bhavaraju , Gary A. Morris , Jorge Valdes
IPC: 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 classification number: 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
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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12.发明申请公开(公告)号：US20220000432A1
公开(公告)日：2022-01-06
申请号：US17448317
申请日：2021-09-21
Applicant: DexCom, Inc.
Inventor： Esteban Cabrera, JR. , Lauren Danielle Armenta , Scott M. Belliveau , Jennifer Blackwell , Leif N. Bowman , Rian Draeger , Arturo Garcia , Timothy Joseph Goldsmith , John Michael Gray , Andrea Jean Jackson , Apurv Ullas Kamath , Katherine Yerre Koehler , Paul Kramer , Aditya Sagar Mandapaka , Michael Robert Mensinger , Sumitaka Mikami , Gary A. Morris , Hemant Mahendra Nirmal , Paul Noble-Campbell , Philip Thomas Pupa , Eli Reihman , Peter C. Simpson , Brian Christopher Smith , Atiim Joseph Wiley
IPC: A61B5/00 , G06F1/16 , G06F3/0484 , G16H15/00 , G16H40/67 , G16H50/20 , G16H70/40 , G16H50/30 , G16H40/63 , A61B5/145 , G06F3/0488 , G06F17/18
Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.
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公开(公告)号：US11183298B2
公开(公告)日：2021-11-23
申请号：US16387288
申请日：2019-04-17
Applicant: DexCom, Inc.
Inventor： Anna Leigh Davis , Scott M. Belliveau , Esteban Cabrera, Jr. , Alexandra Elena Constantin , Rian Draeger , Peter Galuardi , Hari Hampapuram , Matthew Lawrence Johnson , Apurv Ullas Kamath , Katherine Yerre Koehler , Aarthi Mahalingam , Gary A. Morris , Philip Thomas Pupa , Peter C. Simpson , Brian Christopher Smith , Tomas C. Walker
IPC: G16H40/63 , G16H80/00 , G16H40/67 , G16H20/17 , G16H10/60 , G16H50/30 , G16H20/30 , G16H20/60 , A61M5/172 , G06F21/44 , G16H10/20 , G06F21/60 , G06F21/62 , A61M5/142 , G16H20/70
Abstract: Disclosed are systems and methods for secure and seamless set up and modification of bolus calculator parameters for a bolus calculator tool by a health care provider (HCP). In one aspect, a method for enabling HCP set up of a bolus calculator includes providing a server accessible by both an HCP and a patient; upon login by the HCP, displaying, or transmitting for display, a fillable form, the fillable form including one or more fields for entry of one or more bolus calculator parameters; receiving data from the fillable form, the data corresponding to one or more bolus calculator parameters; and upon login by the patient, transmitting data to a device associated with the patient, the transmitted data based on the received data, where the transmitted data corresponds to one or more of the bolus calculator parameters in a format suitable for entry to a bolus calculator.
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公开(公告)号：US20210316070A1
公开(公告)日：2021-10-14
申请号：US17202845
申请日：2021-03-16
Applicant: DexCom, Inc.
Inventor： Gary A. Morris , Scott M. Belliveau , Esteban Cabrera, JR. , Rian Draeger , Laura J. Dunn , Timothy Joseph Goldsmith , Hari Hampapuram , Christopher Robert Hannemann , Apurv Ullas Kamath , Katherine Yerre Koehler , Patrick Wile McBride , Michael Robert Mensinger , Francis William Pascual , Philip Mansiel Pellouchoud , Nicholas Polytaridis , Philip Thomas Pupa , Anna Leigh Davis , Kevin Shoemaker , Brian Christopher Smith , Benjamin Elrod West , Atiim Joseph Wiley
IPC: A61M5/172 , G08B21/04 , A61B5/145 , A61B5/00 , H04L29/06 , G06F9/54 , G06F16/955 , G06F16/22 , G06F21/60 , G08B25/08 , G16H40/63 , H04L9/08 , G16H20/17 , G16H10/60 , H04M1/72409 , H04M1/72412 , H04W12/084 , H04L9/06 , H04L9/14 , H04L9/30
Abstract: Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.
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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
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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Patent Agency Ranking
公开(公告)号：US20210259591A1
公开(公告)日：2021-08-26
申请号：US17114254
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：US10406287B2
公开(公告)日：2019-09-10
申请号：US16029476
申请日：2018-07-06
Applicant: DexCom, Inc.
Inventor： 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: 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
Abstract: 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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公开(公告)号：US20180126074A1
公开(公告)日：2018-05-10
申请号：US15582266
申请日：2017-04-28
Applicant: DexCom, Inc.
Inventor： 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
CPC classification number: A61B5/746 , A61B5/0022 , A61B5/024 , A61B5/1112 , A61B5/14517 , A61B5/14532 , A61B5/14546 , A61B5/165 , A61B5/4866 , A61B5/742 , A61M5/1723 , A61M2205/18 , A61M2205/3584 , A61M2205/50 , A61M2205/502 , A61M2205/52 , A61M2205/581 , A61M2205/582 , A61M2205/8206 , A61M2230/201 , G06F19/00 , G06F19/3418 , G06F19/3468 , G06N5/043 , G06N99/005 , G08B21/0453 , G16H20/17 , G16H40/67 , G16H50/20 , H04M1/7253 , Y02A90/26
Abstract: 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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公开(公告)号：US20170286194A1
公开(公告)日：2017-10-05
申请号：US15474886
申请日：2017-03-30
Applicant: DexCom, Inc.
Inventor： Gary A. Morris , Scott M. Belliveau , Esteban Cabrera, JR. , Rian Draeger , Laura J. Dunn , Timothy Joseph Goldsmith , Hari Hampapuram , Christopher Robert Hannemann , Apurv Ullas Kamath , Katherine Yerre Koehler , Patrick Wile McBride , Michael Robert Mensinger , Francis William Pascual , Philip Mansiel Pellouchoud , Nicholas Polytaridis , Philip Thomas Pupa , Anna Leigh Davis , Kevin Shoemaker , Brian Christopher Smith , Benjamin Elrod West , Atiim Joseph Wiley
Abstract: Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.
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公开(公告)号：US20160232318A1
公开(公告)日：2016-08-11
申请号：US15019881
申请日：2016-02-09
Applicant: DexCom, Inc.
Inventor： Michael Robert Mensinger , Esteban Cabrera, JR. , Eric Cohen , Nathaniel David Heintzman , Apurv Ullas Kamath , Gary A. Morris , Andrew Attila Pal , Eli Reihman , Jorge Valdes
CPC classification number: G06F19/3418 , A61B5/0002 , A61B5/0004 , A61B5/0022 , A61B5/14532 , A61B5/7275 , A61B5/742 , G06F21/602 , G06F21/62 , G06F21/6245 , G16H10/60 , G16H50/30
Abstract: The present disclosure relates to systems, devices and methods for receiving biosensor data acquired by a medical device, e.g., relating to glucose concentration values, and controlling the access and distribution of that data. In some embodiments, systems and methods are disclosed for monitoring glucose levels, displaying data relating to glucose values and metabolic health information, and controlling distribution of glucose data between applications executing on a computer, such as a smart phone. In some embodiments, systems and methods are disclosed for controlling access to medical data such as continuously monitored glucose levels, synchronizing health data relating to glucose levels between multiple applications executing on a computer, and/or encrypting data.
Abstract translation: 本公开涉及用于接收由医疗设备获取的生物传感器数据的系统，装置和方法，例如涉及葡萄糖浓度值，以及控制该数据的访问和分发。 在一些实施例中，公开了用于监测葡萄糖水平的系统和方法，显示与葡萄糖值和代谢健康信息相关的数据，以及在诸如智能电话的计算机上执行的应用之间控制葡萄糖数据的分布。 在一些实施例中，公开了用于控制对医疗数据的访问的系统和方法，例如连续监测的葡萄糖水平，与在计算机上执行的多个应用程序之间的葡萄糖水平相关的健康数据和/或加密数据。
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