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公开(公告)号：US12133708B2
公开(公告)日：2024-11-05
申请号：US17200000
申请日：2021-03-12
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
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.
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公开(公告)号：US11670418B2
公开(公告)日：2023-06-06
申请号：US16372052
申请日：2019-04-01
Applicant: DexCom, Inc.
Inventor： Katherine Yerre Koehler , Esteban Cabrera, Jr. , Eric Cohen , Mark Dervaes , Rian Draeger , Sheryl Sadsarin Gaano , Thomas Hall , Paul Kramer , Shawn Larvenz , Michael Robert Mensinger , Paul Noble-Campbell , Andrew Attila Pal , Eli Reihman , Brian Christopher Smith , Angela Marie Traven
IPC: G16H20/60 , A61B5/145 , G16H40/67 , G16H40/63 , G16Z99/00 , A61B5/00 , H04L43/065 , H04L43/0817 , H04L67/12 , G16H20/17
CPC classification number: G16H40/67 , A61B5/002 , A61B5/0004 , A61B5/14503 , A61B5/14532 , A61B5/7271 , A61B5/7275 , A61B5/7282 , A61B5/742 , A61B5/743 , A61B5/7405 , A61B5/746 , A61B5/7435 , A61B5/7455 , G16H20/17 , G16H20/60 , G16H40/63 , G16Z99/00 , H04L43/065 , H04L43/0817 , H04L67/12 , A61B2560/0475
Abstract: The subject matter disclosed herein provides methods for presenting glucose level data. Glucose data for a patient may be received. A current glucose level and a rate of change of the current glucose level may be determined based on the received glucose data. A first interface may be displayed on a screen of a device. The first interface may include a unitary icon. The unitary icon may display the current glucose level and a visualization of the rate of change. Related apparatus, systems, techniques, and articles are also described.
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公开(公告)号：US11642049B2
公开(公告)日：2023-05-09
申请号：US16739617
申请日：2020-01-10
Applicant: DexCom, Inc.
Inventor： Phil Mayou , Hari Hampapuram , David Price , Keri Leone , Kostantyn Snisarenko , Michael Robert Mensinger , Leif N. Bowman , Robert J. Boock , Apurv Ullas Kamath , Eli Reihman , Peter C. Simpson
CPC classification number: A61B5/14532 , G16H15/00 , G16H50/20 , G16H50/70 , Y02A90/10
Abstract: Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.
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公开(公告)号：US11574426B2
公开(公告)日：2023-02-07
申请号：US16673850
申请日：2019-11-04
Applicant: DexCom, Inc.
Inventor： Georgios Zamanakos , Daniel Justin Wiedeback , Jeffrey Grant Stewart , Eli Reihman , David Price , Lauren C. Miller , Keri Leone , Dan Kraemer , Katherine Eng Kirby , Greg Kida , Apurv Ullas Kamath , Adam R. Greene , Rebecca Gimenez , Sarah Paige Elli , Rian Draeger , Shane Philip Delmore , Leif N. Bowman
Abstract: Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.
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公开(公告)号：US11497422B2
公开(公告)日：2022-11-15
申请号：US17644065
申请日：2021-12-13
Applicant: Dexcom, Inc.
Inventor： Katherine Yerre Koehler , Leif N. Bowman , Rian Draeger , Laura Dunn , Eli Reihman
IPC: A61B5/145 , A61B5/00 , G16H40/63 , G16H10/60 , G16H50/70 , G06F3/0481 , H04L67/125 , G06T7/70 , G06F3/04842 , G06F3/04883 , G06F3/0488
Abstract: The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.
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Patent Agency Ranking
公开(公告)号：US20220101995A1
公开(公告)日：2022-03-31
申请号：US17548330
申请日：2021-12-10
Applicant: DexCom, Inc.
Inventor： Eric Johnson , Michael Robert Mensinger , Peter C. Simpson , Thomas Hall , Hari Hampapuram , Kostyantyn Snisarenko , Eli Reihman , Holly Chico , Kassandra Constantine
IPC: G16H40/67 , H04N21/431 , G06T3/00 , G06T11/20 , A61B5/145 , A61B5/00 , G06F3/0488 , G16H40/63 , G06F3/041 , A61B5/1495 , G01N33/66 , G06F3/0484 , G16H20/17
Abstract: This disclosure provides systems, methods and apparatus for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor. The system may include a display device with at least one input device. In response to movement of or along the input device, the display device may change a glucose data output parameter and update an output of the display device using the changed output parameter.
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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：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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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：US10932672B2
公开(公告)日：2021-03-02
申请号：US15377850
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
IPC: A61B5/00 , G16H10/60 , G16H40/67 , A61B5/145 , A61B5/0205 , G09B5/02 , A63B24/00 , G09B5/08 , A61B5/024
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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