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公开(公告)号：US11153317B2
公开(公告)日：2021-10-19
申请号：US16169661
申请日：2018-10-24
Applicant: DexCom, Inc.
Inventor： Apurv Ullas Kamath , Michael Robert Mensinger , Nicholas Polytaridis , Gary A. Morris , Alexandra E. Constantin , Douglas William Burnette , Mario Remon , Jorge R. Barreras , Benjamin Elrod West , Christopher R. Hannemann
IPC: H04L9/32 , H04L29/06 , H04W52/02 , A61B5/145 , H04W12/06 , A61B5/00 , G16H10/60 , G16H50/20 , G16H10/65 , H04W76/14 , H04W4/38 , H04W4/80 , A61B5/1495
Abstract: Systems, devices, and methods are disclosed for wireless communication of analyte data. In embodiments, a method of using a diabetes management partner interface to configure an analyte sensor system for wireless communication with a plurality of partner devices is provided. The method includes the analyte sensor system receiving authorization to provide one of the partner devices with access to a set of configuration parameters via the diabetes management partner interface. The set of configuration parameters is stored in a memory of the analyte sensor system. The method also includes, responsive to input received from the one partner device via the diabetes management partner interface, the analyte sensor system setting or causing a modification to the set of configuration parameters, according to a system requirement of the one partner device.
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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：US10980941B2
公开(公告)日：2021-04-20
申请号：US15475010
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
IPC: G06F3/048 , G08B21/00 , A61M5/172 , H04M1/725 , G08B21/04 , A61B5/145 , A61B5/00 , H04L29/06 , G06F9/54 , G06F16/955 , G06F16/22 , G06F21/60 , G08B25/08 , G16H40/63 , H04L9/08 , G16H20/17 , H04W12/08 , G16H10/60 , H04L9/06 , H04L9/14 , H04L9/30
Abstract: A computer-readable medium on a mobile computing device comprises 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：US20190252079A1
公开(公告)日：2019-08-15
申请号：US16269533
申请日：2019-02-06
Applicant: DexCom, Inc.
Inventor： Alexandra Elena Constantin , Scott M. Belliveau , Naresh C. Bhavaraju , Jennifer Blackwell , Eric Cohen , Basab Dattaray , Anna Leigh Davis , Rian Draeger , Arturo Garcia , John Michael Gray , Hari Hampapuram , Nathaniel David Heintzmann , Lauren Hruby Jepson , Matthew Lawrence Johnson , Apurv Ullas Kamath , Katherine Yerre Koehler , Phil Mayou , Patrick Wile McBride , Michael Robert Mensinger , Sumitaka Mikami , Andrew Attila Pal , Nicholas Polytaridis , Philip Thomas Pupa , Eli Reihman , Peter C. Simpson , Tomas C. Walker , Daniel Justin Wiedeback
CPC classification number: G16H70/20 , A61B5/0022 , A61B5/1118 , A61B5/14532 , A61B5/4839 , A61B5/486 , A61B5/4866 , A61B5/7275 , A61B5/7282 , A61B5/746 , G06N5/045 , G06N20/00 , G16H50/20
Abstract: Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration data sensed by a glucose concentration sensor. A host state change associated with the host glucose concentration data may be determined. A guidance message based at least in part on the host state change may also be determined. The guidance message may be delivered through a user interface.
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Patent Agency Ranking
公开(公告)号：US20190246914A1
公开(公告)日：2019-08-15
申请号：US16269528
申请日：2019-02-06
Applicant: DexCom, Inc.
Inventor： Alexandra Elena Constantin , Scott M. Belliveau , Naresh C. Bhavaraju , Jennifer Blackwell , Eric Cohen , Basab Dattaray , Anna Leigh Davis , Rian Draeger , Arturo Garcia , John Michael Gray , Hari Hampapuram , Nathaniel David Heintzmann , Lauren Hruby Jepson , Matthew Lawrence Johnson , Apurv Ullas Kamath , Katherine Yerre Koehler , Phil Mayou , Patrick Wile McBride , Michael Robert Mensinger , Sumitaka Mikami , Andrew Attila Pal , Nicholas Polytaridis , Philip Thomas Pupa , Eli Reihman , Peter C. Simpson , Tomas C. Walker , Daniel Justin Wiedeback , Subrai Girish Pai , Matthew T. Vogel
IPC: A61B5/0205 , A61B5/145 , A61B5/00 , A61B5/01
CPC classification number: G16H70/20 , A61B5/0022 , A61B5/1118 , A61B5/14532 , A61B5/4839 , A61B5/486 , A61B5/4866 , A61B5/7275 , A61B5/7282 , A61B5/746 , G06N5/045 , G06N20/00 , G16H50/20
Abstract: Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.
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公开(公告)号：US10052073B2
公开(公告)日：2018-08-21
申请号：US15582467
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
IPC: G08B1/08 , A61B5/00 , G16H50/20 , A61B5/024 , A61B5/11 , A61B5/145 , A61B5/16 , G06F19/00 , G08B21/04 , H04M1/725 , G06N5/04 , G06N99/00
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：US20170347971A1
公开(公告)日：2017-12-07
申请号：US15684361
申请日：2017-08-23
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
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：US20170181629A1
公开(公告)日：2017-06-29
申请号：US15377821
申请日：2016-12-13
Applicant: DexCom, Inc.
Inventor： Aarthi Mahalingam , Esteban Cabrera, JR. , Basab Dattaray , Rian Draeger , Laura J. Dunn , Derek James Escobar , Thomas Hall , Hari Hampapuram , Apurv Ullas Kamath , Katherine Yerre Koehler , Phil Mayou , Michael Robert Mensinger , Michael Levozier Moore , Andrew Attila Pal , Nicholas Polytaridis , Eli Reihman , Brian Christopher Smith
CPC classification number: A61B5/0205 , A61B5/0004 , A61B5/0022 , A61B5/024 , A61B5/14532 , A61B5/4806 , A61B5/6802 , A61B5/74 , A61B5/746 , A61B2505/07 , A61B2560/0242 , A63B24/0062 , G06Q50/24 , G09B5/02 , G09B5/08 , G16H10/60 , G16H40/67
Abstract: Systems and methods for remote and host monitoring communication are disclosed. In some implementations, monitoring systems can comprise a host monitoring device associated with a Host communicatively coupled to one or more remote monitoring devices associated with Remote Monitors. The host monitoring device can send communications based at least in part on analyte measurements of a Host sensor and/or other contextual data giving such measurements context. Different remote monitoring devices can receive different communications based at least in part on the role of the respective Remote Monitors relative to the Host. These roles can be reflected in classifications of Remote Monitors.
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公开(公告)号：US20160302703A1
公开(公告)日：2016-10-20
申请号：US15194242
申请日：2016-06-27
Applicant: DexCom, Inc.
Inventor： Nicholas Polytaridis , David J. Carner , Jacob S. Leach , Christina Orsini
CPC classification number: A61B5/14532 , A45C11/00 , A45C2011/003 , A45C2011/007 , A61B2562/245 , A61B2562/247 , Y10T29/49826
Abstract: Sleeves and cases for protecting medical devices against contamination, and methods for cleaning and disinfecting medical devices are provided. The various embodiments enable a single medical device to be used by more than one patient successively while reducing the risk of disease transmission from patient to patient.
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