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公开(公告)号：US12016685B2
公开(公告)日：2024-06-25
申请号：US16718046
申请日：2019-12-17
Applicant: DexCom, Inc.
Inventor： Apurv Ullas Kamath , Margaret A. Crawford , John Michael Gray , Hari Hampapuram , Matthew Lawrence Johnson , Subrai Girish Pai , Shawn Clay Sanders , Sumitaka Mikami
IPC: A61B5/1455 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/11 , A61B5/145 , A61M5/172 , G06F11/10 , G16H10/60 , G16H40/67 , G16H20/17
CPC classification number: A61B5/14532 , A61B5/002 , A61B5/0022 , A61B5/1118 , A61B5/14546 , A61B5/1455 , A61B5/7267 , A61B5/742 , A61B5/7475 , A61M5/1723 , G06F11/1004 , G16H10/60 , G16H40/67 , A61B5/0205 , A61B5/02438 , A61B2560/0209 , A61B2560/0214 , G16H20/17
Abstract: Various examples are directed to systems and methods for measuring a parameter related to patient health. An analyte sensor system may detect that the analyte sensor system has been applied to a host and may store analyte data describing the host. The analyte sensor system may determine that sensor use at the analyte sensor system has terminated and upload stored analyte data to an upload computing device.
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公开(公告)号：US11998322B2
公开(公告)日：2024-06-04
申请号：US16717834
申请日：2019-12-17
Applicant: DexCom, Inc.
Inventor： Apurv Ullas Kamath , Margaret A. Crawford , John Michael Gray , Hari Hampapuram , Matthew Lawrence Johnson , Subrai Girish Pai , Shawn Clay Sanders , Sumitaka Mikami
IPC: A61B5/145 , A61B5/00 , A61B5/11 , A61B5/1455 , A61M5/172 , G06F11/10 , G16H10/60 , G16H40/67 , A61B5/0205 , A61B5/024 , G16H20/17
CPC classification number: A61B5/14532 , A61B5/002 , A61B5/0022 , A61B5/1118 , A61B5/14546 , A61B5/1455 , A61B5/7267 , A61B5/742 , A61B5/7475 , A61M5/1723 , G06F11/1004 , G16H10/60 , G16H40/67 , A61B5/0205 , A61B5/02438 , A61B2560/0209 , A61B2560/0214 , G16H20/17
Abstract: Various examples are directed to systems and methods for patient monitoring. An example method comprises receiving an estimated glucose concentration level of the patient from a continuous glucose monitoring (CGM) system for a first time period. The method may also include receiving non-glucose information relating to the patient for the first time period and determining a relationship between the estimated glucose concentration level and the non-glucose information. The method may also include receiving non-glucose information relating to the patient for a second time period and determining diabetic information about the patient for the second time period based upon the determined relationship and the non-glucose information. The method may include electronically delivering a notification about the diabetic information.
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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：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：US12171547B2
公开(公告)日：2024-12-24
申请号：US16269531
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 Heintzman , 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: A61B5/145 , A61B5/00 , A61B5/01 , A61B5/0205 , A61B5/11 , G06N5/045 , G06N20/00 , G16H50/20 , G16H70/20 , A61B5/024 , A61B5/08
Abstract: Systems and methods are provided to determine a time to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a model or pattern. The time to deliver guidance may be calculated to be useful to a user in the management of a glucose concentration level.
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公开(公告)号：US20240293051A1
公开(公告)日：2024-09-05
申请号：US18646645
申请日：2024-04-25
Applicant: Dexcom, Inc.
Inventor： Apurv Ullas Kamath , Margaret A. Crawford , John Michael Gray , Hari Hampapuram , Matthew Lawrence Johnson , Subrai Girish Pai , Shawn Clay Sanders , Sumitaka Mikami
IPC: A61B5/145 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/11 , A61B5/1455 , A61M5/172 , G06F11/10 , G16H10/60 , G16H20/17 , G16H40/67
CPC classification number: A61B5/14532 , A61B5/002 , A61B5/0022 , A61B5/1118 , A61B5/14546 , A61B5/1455 , A61B5/7267 , A61B5/742 , A61B5/7475 , A61M5/1723 , G06F11/1004 , G16H10/60 , G16H40/67 , A61B5/0205 , A61B5/02438 , A61B2560/0209 , A61B2560/0214 , G16H20/17
Abstract: Various examples are directed to systems and methods for measuring a parameter related to patient health. An analyte sensor system may detect that the analyte sensor system has been applied to a host and may store analyte data describing the host. The analyte sensor system may determine that sensor use at the analyte sensor system has terminated and upload stored analyte data to an upload computing device.
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公开(公告)号：US11931188B2
公开(公告)日：2024-03-19
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 , A61B5/145 , G06F1/16 , G06F3/0484 , G06F3/04847 , G06F3/0488 , G06F17/18 , G16H15/00 , G16H40/63 , G16H40/67 , G16H50/20 , G16H50/30 , G16H70/40 , G06F16/00
CPC classification number: A61B5/7275 , A61B5/0022 , A61B5/14532 , A61B5/743 , A61B5/746 , G06F1/163 , G06F3/0484 , G06F3/04847 , G06F3/0488 , G06F17/18 , G16H15/00 , G16H40/63 , G16H40/67 , G16H50/20 , G16H50/30 , G16H70/40 , G06F16/00
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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10.发明授权公开(公告)号：US11141116B2
公开(公告)日：2021-10-12
申请号：US15674462
申请日：2017-08-10
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 , G06F16/00
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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