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公开(公告)号：US10328204B2
公开(公告)日：2019-06-25
申请号：US15582057
申请日：2017-04-28
Applicant: DexCom, Inc.
Inventor： Anna Leigh Davis , 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 , Scott M. Belliveau , 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 , Naresh C. Bhavaraju , Peter C. Simpson , Daniel Smith , Stephen J. Vanslyke , Matthew T. Vogel , Tomas C. Walker , Benjamin Elrod West , Atiim Joseph Wiley , Leif N. Bowman , Rita M. Castillo , Alexandra Elena Constantin , Rian Draeger , Laura J. Dunn , Gary Brian Gable
IPC: A61M5/00 , 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：US20180326150A1
公开(公告)日：2018-11-15
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 , A61B5/00 , G16H50/20 , G16H40/63 , G06N5/04 , G06F19/00 , G16H20/17 , A61B5/145 , H04M1/725 , A61B5/16 , G06N99/00 , A61B5/11 , A61B5/024 , G08B21/04
CPC classification number: A61M5/1723 , A61B5/0022 , A61B5/024 , A61B5/1112 , A61B5/14517 , A61B5/14532 , A61B5/14546 , A61B5/165 , A61B5/4866 , A61B5/742 , A61B5/746 , 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 , G06N20/00 , G08B21/0453 , G16H20/17 , G16H40/63 , 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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63.发明申请公开(公告)号：US20180042558A1
公开(公告)日：2018-02-15
申请号：US15674442
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 , G06F17/18 , G06F19/00 , G06F3/0488 , A61B5/145
CPC classification number: A61B5/7275 , A61B5/0022 , A61B5/14532 , A61B5/743 , A61B5/746 , G06F1/163 , G06F3/0484 , G06F3/04847 , G06F3/0488 , G06F16/00 , G06F17/18 , G06F19/326 , G16H15/00 , G16H40/63 , G16H40/67 , G16H50/20 , G16H50/30 , G16H70/40
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：US20170311903A1
公开(公告)日：2017-11-02
申请号：US15582057
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: A61M5/1723 , A61B5/0022 , A61B5/024 , A61B5/1112 , A61B5/14517 , A61B5/14532 , A61B5/14546 , A61B5/165 , A61B5/4866 , A61B5/742 , A61B5/746 , 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 , G06N20/00 , G08B21/0453 , G16H20/17 , G16H40/63 , 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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65.发明申请SYSTEMS AND METHODS FOR LEVERAGING SMARTPHONE FEATURES IN CONTINUOUS GLUCOSE MONITORING 审中-公开在连续葡萄糖监测中诱导精神兴趣特征的系统和方法公开(公告)号：US20160066843A1
公开(公告)日：2016-03-10
申请号：US14940070
申请日：2015-11-12
Applicant: DexCom, Inc.
Inventor： Michael Robert Mensinger , Naresh C. Bhavaraju , Leif Bowman , Alexandra Lynn Carlton , David DeRenzy , Arturo Garcia , lndirawati Gauba , Ashley Hall , Thomas Hall , Hari Hampauram , Murrad Kazalbash , Aarthi Mahalingam , Jack Pryor , Anna Leigh Rack-Gomer , Eli Reihman , Kenneth San Vicente , Peter C. Simpson , Alexander Steele , Jorge Valdes , Michael J. Estes , Eric Cohen
CPC classification number: A61B5/6801 , A61B5/0004 , A61B5/0022 , A61B5/14503 , A61B5/14532 , A61B5/4839 , A61B5/486 , A61B5/6898 , A61B5/72 , A61B5/742 , A61B5/7435 , A61B5/7475 , F04C2270/041 , G06F19/3468 , G16H10/40 , G16H40/40 , G16H40/63
Abstract: The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health.
Abstract translation: 本实施例利用现代智能手机的各种功能，并将这些能力与来自连续葡萄糖监测器的信息相结合，为糖尿病患者和相关人员提供比连续葡萄糖监测仪可以自己提供的更多信息。 增加的信息为糖尿病患者提供了良好的糖尿病管理的可能性，从而获得更好的健康。
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Patent Agency Ranking
公开(公告)号：US09211092B2
公开(公告)日：2015-12-15
申请号：US13733742
申请日：2013-01-03
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Arturo Garcia , Hari Hampapuram , Apurv Ullas Kamath , Aarthi Mahalingam , Dmytro Sokolovskyy , Stephen J. Vanslyke
IPC: G01N33/66 , A61B5/1495 , G06F19/00 , G01M99/00 , A61B5/145 , G01N33/487 , G01N33/49
CPC classification number: G01N33/48792 , A61B5/14532 , A61B5/1495 , A61B5/7221 , A61B2560/0223 , A61B2560/0266 , A61B2560/0276 , A61B2560/028 , G01M99/008 , G01N33/49 , G01N33/66 , G06F19/70 , G06F19/708
Abstract: Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.
Abstract translation: 提供了用于处理传感器数据和寿命终止检测的系统和方法。 在一些实施例中，用于确定连续分析物传感器的寿命终止的方法包括使用寿命终止功能评估多个危险因素以确定传感器的寿命状态并提供与寿命结束相关的输出 传感器的状态 可以从包括传感器已经使用的天数的列表中选择多个危险因素，信号灵敏度是否下降，是否存在预定的噪声模式，是否存在预定的氧浓度模式， 参考BG值和EGV传感器值之间的误差。
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67.发明申请公开(公告)号：US20150351673A1
公开(公告)日：2015-12-10
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
CPC classification number: A61B5/1495 , A61B5/01 , A61B5/053 , A61B5/1118 , A61B5/14532 , A61B5/14542 , A61B5/14546 , A61B5/1473 , A61B5/14865 , A61B5/4833 , A61B5/4839 , A61B5/4848 , A61B5/4866 , A61B5/6898 , A61B5/7203 , A61B5/7221 , A61B5/7275 , A61B5/7278 , A61B5/7282 , A61B5/742 , A61B5/746 , A61B2560/0247 , A61B2560/0252 , A61B2560/0276 , A61B2560/0475 , A61B2562/0247 , A61M5/1723 , A61M2205/3584 , A61M2205/3592 , A61M2205/50 , A61M2205/52 , A61M2230/201 , 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.
Abstract translation: 这里公开的系统和方法提供了区分分析物传感器和系统中遇到的故障类型的方法，并且进一步提供了基于传感器数据，临床上下文信息以及关于患者或患者环境的其它数据来响应地处理这些区分故障的方法。 因此，系统和方法利用临床上下文来检测和/或响应与分析物传感器系统相关的错误或故障，以及区分故障的类型及其根本原因，特别是因为故障动态可以看起来类似于生理系统的动力学 强调区分错误并提供适当的响应处理的重要性。 因此，所公开的系统和方法考虑了在确定如何应对故障时患者的健康状况或状态的上下文。
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公开(公告)号：US20150351670A1
公开(公告)日：2015-12-10
申请号：US14717643
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
CPC classification number: A61B5/1495 , A61B5/01 , A61B5/053 , A61B5/1118 , A61B5/14532 , A61B5/14542 , A61B5/14546 , A61B5/1473 , A61B5/14865 , A61B5/4833 , A61B5/4839 , A61B5/4848 , A61B5/4866 , A61B5/6898 , A61B5/7203 , A61B5/7221 , A61B5/7275 , A61B5/7278 , A61B5/7282 , A61B5/742 , A61B5/746 , A61B2560/0247 , A61B2560/0252 , A61B2560/0276 , A61B2560/0475 , A61B2562/0247 , A61M5/1723 , A61M2205/3584 , A61M2205/3592 , A61M2205/50 , A61M2205/52 , A61M2230/201 , 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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公开(公告)号：US20150046113A1
公开(公告)日：2015-02-12
申请号：US14523323
申请日：2014-10-24
Applicant: DexCom, Inc.
Inventor： Naresh C. Bhavaraju , Arturo Garcia , Hari Hampapuram , Apurv Ullas Kamath , Aarthi Mahalingam , Dmytro Sokolovskyy , Stephen J. Vanslyke
IPC: A61B5/1495 , A61B5/145
CPC classification number: G01N33/48792 , A61B5/14532 , A61B5/1495 , A61B5/7221 , A61B2560/0223 , A61B2560/0266 , A61B2560/0276 , A61B2560/028 , G01M99/008 , G01N33/49 , G01N33/66 , G06F19/70 , G06F19/708
Abstract: Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.
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公开(公告)号：US20140188402A1
公开(公告)日：2014-07-03
申请号：US13733810
申请日：2013-01-03
Applicant: DEXCOM, INC.
Inventor： Arturo Garcia , Naresh C. Bhavaraju , Hari Hampapuram , Apurv Ullas Kamath , Aarthi Mahalingam , Dmytro Sokolovskyy , Stephen J. Vanslyke
IPC: G06F19/00
CPC classification number: G01N33/48792 , A61B5/14532 , A61B5/1495 , A61B5/7221 , A61B2560/0223 , A61B2560/0266 , A61B2560/0276 , A61B2560/028 , G01M99/008 , G01N33/49 , G01N33/66 , G16C20/80 , G16C99/00
Abstract: Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.
Abstract translation: 提供了用于处理传感器数据和寿命终止检测的系统和方法。 在一些实施例中，用于确定连续分析物传感器的寿命终止的方法包括使用寿命终止功能评估多个危险因素以确定传感器的寿命状态并提供与寿命结束相关的输出 传感器的状态 可以从包括传感器已经使用的天数的列表中选择多个危险因素，信号灵敏度是否下降，是否存在预定的噪声模式，是否存在预定的氧浓度模式， 参考BG值和EGV传感器值之间的误差。
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