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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：US11714060B2
公开(公告)日：2023-08-01
申请号：US16402124
申请日：2019-05-02
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Becky L. Clark , Vincent P. Crabtree , Chris W. Dring , Arturo Garcia , Jason Halac , Jonathan Hughes , Jeff Jackson , Lauren Hruby Jepson , David I-Chun Lee , Ted Tang Lee , Rui Ma , Zebediah L. McDaniel , Jason Mitchell , Andrew Attila Pal , Daiting Rong , Disha B. Sheth , Peter C. Simpson , Stephen J. Vanslyke , Matthew D. Wightlin , Anna Leigh Davis , Hari Hampapuram , Aditya Sagar Mandapaka , Alexander Leroy Teeter , Liang Wang
IPC: G01N27/32 , G01N27/327 , A61B5/145 , A61B5/1495
CPC classification number: G01N27/3274 , A61B5/1495 , A61B5/14532 , A61B2560/0223
Abstract: Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.
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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：US20220366027A1
公开(公告)日：2022-11-17
申请号：US17742064
申请日：2022-05-11
Applicant: Dexcom, Inc.
Inventor： Thomas Hall , Andrew Attila Pal , Matthew Lawrence Johnson , Issa S Salameh , Christopher Efigenio , Michael Tyler
Abstract: Measurements of biometric information of a user are obtained over time, such as blood glucose measurements. These biometric measurements are typically obtained by a wearable biometric information monitoring device being worn by the user. These biometric measurements are used by various different systems, such as a computing device of the user or a biometric information monitoring platform that receives biometric measurements from multiple different users. The biometric measurements are used for various security aspects, such as one or more of part of multi-factor authentication of the user, generating security keys (e.g., connection keys, encryption keys), identifying biometric measurements associated with different user identifiers but the same use, and protecting biometric measurements so as to be retrievable only by a recipient associated with an additional computing device, and so forth.
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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：US11055198B2
公开(公告)日：2021-07-06
申请号：US16728536
申请日：2019-12-27
Applicant: DexCom, Inc.
Inventor： Issa Sami Salameh , Douglas William Burnette , Tifo Vu Hoang , Steven David King , Stephen M. Madigan , Michael Robert Mensinger , Andrew Attila Pal , Michael Ranen Tyler
IPC: G06F11/36 , G06F8/71 , G06F8/70 , G06F11/14 , G06F11/00 , G06F9/445 , G16H40/40 , H04W88/02 , A61B5/145 , H04W4/70 , H04L29/08 , H04W4/20 , H04M1/724 , G06F8/65 , H04W4/12 , A61B5/00 , H04M1/72403
Abstract: Disclosed are systems, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.
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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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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：US10238324B2
公开(公告)日：2019-03-26
申请号：US14717967
申请日：2015-05-20
Applicant: DexCom, Inc.
Inventor： Stephen J. Vanslyke , Naresh C. Bhavaraju , Sebastian Böhm , Leif N. Bowman , Michael J. Estes , Arturo Garcia , Apurv Ullas Kamath , Andrew Attila Pal , Thomas A. Peyser , Anna Leigh Rack-Gomer , Daiting Rong , Disha B. Sheth , Peter C. Simpson , Dmytro Sokolovsky
IPC: A61B5/00 , A61B5/1495 , A61B5/01 , A61B5/11 , A61B5/053 , A61B5/145 , A61B5/1486 , A61B5/1473 , A61M5/172 , G06F19/00
Abstract: Systems and methods disclosed here provide ways to discriminate fault types encountered in analyte sensors and systems and further provide ways to process such discriminated faults responsively based on sensor data, clinical context information, and other data about the patient or patient's environment. The systems and methods thus employ clinical context in detecting and/or responding to errors or faults associated with an analyte sensor system, and discriminating the type of fault, and its root cause, particularly as fault dynamics can appear similar to the dynamics of physiological systems, emphasizing the importance of discriminating the fault and providing appropriate responsive processing. Thus, the disclosed systems and methods consider the context of the patient's health condition or state in determining how to respond to the fault.
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