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1.发明申请公开(公告)号：US20140100435A1
公开(公告)日：2014-04-10
申请号：US13645198
申请日：2012-10-04
Applicant: ROCHE DIAGNOSTICS OPERATIONS, INC.
Inventor： David L. Duke , Abhishek S. Soni
IPC: A61B5/145
Abstract: A system and method is provided for analyzing a glucose state. A method may include identifying a target glucose state and an initial glucose state. The method may include calculating a target return path for a transition from the initial glucose state to the target glucose state. The target return path may comprise at least one intermediate glucose state associated with the transition from the initial glucose state to the target glucose state. The target return path may be calculated based on a hazard associated with the at least one intermediate glucose state of the target return path.
Abstract translation: 提供了一种用于分析葡萄糖状态的系统和方法。 方法可以包括鉴定目标葡萄糖状态和初始葡萄糖状态。 该方法可以包括计算从初始葡萄糖状态到目标葡萄糖状态的转变的目标返回路径。 目标返回路径可以包括与从初始葡萄糖状态到目标葡萄糖状态的转变相关联的至少一个中间葡萄糖状态。 可以基于与目标返回路径的至少一个中间葡萄糖状态相关联的危险来计算目标返回路径。
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2.发明申请System and Method Considering the Effect of Physical Activity on the Glucoregulatory System 审中-公开考虑到身体活动对葡萄糖调节系统的影响的系统和方法公开(公告)号：US20130130215A1
公开(公告)日：2013-05-23
申请号：US13737268
申请日：2013-01-09
Applicant: Roche Diagnostics Operations, Inc.
Inventor： Alain Bock , David L. Duke , Abhishek S. Soni
Abstract: A system and method for considering the effects of aerobic exercise on blood glucose levels for individuals is described. In at least one embodiment of the system of the present disclosure, the system comprises a computing device for generating a prediction of future blood glucose levels for the individual at least partly based on an exercise model, wherein the exercise model is based on parameters that are independent of intensity of the aerobic exercise, and a means for taking an action at least based on the prediction from the exercise model.
Abstract translation: 描述了一种考虑有氧运动对个体血糖水平的影响的系统和方法。 在本公开的系统的至少一个实施例中，该系统包括计算装置，用于至少部分地基于运动模型生成针对个体的未来血糖水平的预测，其中运动模型基于 独立于有氧运动的强度，以及至少基于运动模型的预测采取行动的手段。
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公开(公告)号：US20150347698A1
公开(公告)日：2015-12-03
申请号：US14291446
申请日：2014-05-30
Applicant: Roche Diagnostics Operations, Inc.
Inventor： Abhishek Soni , David L. Duke
CPC classification number: G06F19/345 , G06F19/00 , G06F19/3431 , G06K9/6215 , G06K9/6218 , G06N5/047 , G16H50/20 , G16H50/30
Abstract: Methods and devices for retrospectively assessing continuous monitoring reference pattern data to determine a risk of a patient glucose level measurement taken in at least one data segment being outside a predetermined range. The methods and devices can include executing an algorithm to compare risk scores derived from reference pattern data in a currently collected data segment with risk scores of previously stored reference pattern data of previously collected data segments for a patient for assessing risk.
Abstract translation: 用于回顾性评估连续监测参考模式数据以确定在至少一个数据段之外的患者血糖水平测量的风险在预定范围之外的方法和装置。 所述方法和装置可以包括执行算法来比较从当前收集的数据段中的参考模式数据导出的风险分数与先前存储的用于评估风险的患者的先前收集的数据段的参考模式数据的风险评分。
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Patent Agency Ranking
4.发明申请Systems and Methods for Automatically Displaying Patterns in Biological Monitoring Data 审中-公开在生物监测数据中自动显示模式的系统和方法公开(公告)号：US20140365136A1
公开(公告)日：2014-12-11
申请号：US13912318
申请日：2013-06-07
Applicant: Roche Diagnostics Operations, Inc.
Inventor： Mark Mears , Abhishek S. Soni , Paul J. Galley , David L. Duke , Steven Bousamra
IPC: G01N33/49
Abstract: Systems and methods for automatically displaying patterns in biological data may include one or more processors, and machine readable instructions. The machine readable instructions can cause the one or more processors to divide biological data into segments of interest. The one or more processers can transform, automatically, each of the segments of interest into a set of features according to a mathematical algorithm. Further, the one or more processers can cluster, automatically, the segments of interest into groups of clustered segments according to a clustering algorithm. The segments of interest can be grouped in the groups of clustered segments based at least in part upon the set of features. A cluster center can be associated with one of the groups of clustered segments. Moreover, the one or more processers can present, automatically, the cluster center on a human machine interface.
Abstract translation: 用于在生物数据中自动显示图案的系统和方法可以包括一个或多个处理器和机器可读指令。 机器可读指令可以使一个或多个处理器将生物数据划分成感兴趣的段。 一个或多个处理器可以根据数学算法将每个感兴趣的段自动地变换成一组特征。 此外，一个或多个处理器可以根据聚类算法将感兴趣的段自动聚类成群组。 至少部分地基于特征集合，可以将感兴趣的段分组在群集段中。 群集中心可以与群集段之一相关联。 此外，一个或多个处理器可以自动地在人机界面上呈现集群中心。
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公开(公告)号：US10722650B2
公开(公告)日：2020-07-28
申请号：US14229016
申请日：2014-03-28
Applicant: Roche Diagnostics Operations, Inc.
Inventor： David L. Duke , Abhishek S. Soni
Abstract: The present disclosure relates to a system and method for determining a basal rate adjustment based on risk associated with a glucose state of a person with diabetes. A method may include detecting a glucose state of the person based on a received glucose measurement signal and determining a current risk metric associated with the detected glucose state. The method may include identifying a reference glucose state and a reference risk metric associated with the reference glucose state, and calculating an adjustment to a basal rate of a therapy delivery device based on the current risk metric associated with the detected glucose state and the reference risk metric associated with the reference glucose level.
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公开(公告)号：US09465917B2
公开(公告)日：2016-10-11
申请号：US14291446
申请日：2014-05-30
Applicant: Roche Diagnostics Operations, Inc.
Inventor： Abhishek Soni , David L. Duke
CPC classification number: G06F19/345 , G06F19/00 , G06F19/3431 , G06K9/6215 , G06K9/6218 , G06N5/047 , G16H50/20 , G16H50/30
Abstract: Methods and devices for retrospectively assessing continuous monitoring reference pattern data to determine a risk of a patient glucose level measurement taken in at least one data segment being outside a predetermined range. The methods and devices can include executing an algorithm to compare risk scores derived from reference pattern data in a currently collected data segment with risk scores of previously stored reference pattern data of previously collected data segments for a patient for assessing risk.
Abstract translation: 用于回顾性评估连续监测参考模式数据以确定在至少一个数据段之外的患者血糖水平测量的风险在预定范围之外的方法和装置。 所述方法和装置可以包括执行算法来比较从当前收集的数据段中的参考模式数据导出的风险分数与先前存储的用于评估风险的患者的先前收集的数据段的参考模式数据的风险评分。
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7.发明申请SYSTEM AND METHOD FOR ADJUSTING THERAPY BASED ON RISK ASSOCIATED WITH A GLUCOSE STATE 审中-公开基于与葡萄糖状态相关的风险调整治疗的系统和方法公开(公告)号：US20150273147A1
公开(公告)日：2015-10-01
申请号：US14229016
申请日：2014-03-28
Applicant: Roche Diagnostics Operations, Inc.
Inventor： David L. Duke , Abhishek S. Soni
Abstract: The present disclosure relates to a system and method for determining a basal rate adjustment based on risk associated with a glucose state of a person with diabetes. A method may include detecting a glucose state of the person based on a received glucose measurement signal and determining a current risk metric associated with the detected glucose state. The method may include identifying a reference glucose state and a reference risk metric associated with the reference glucose state, and calculating an adjustment to a basal rate of a therapy delivery device based on the current risk metric associated with the detected glucose state and the reference risk metric associated with the reference glucose level.
Abstract translation: 本公开涉及一种用于基于与糖尿病患者的葡萄糖状态相关的风险来确定基础速率调整的系统和方法。 方法可以包括基于所接收的葡萄糖测量信号检测人的葡萄糖状态并确定与检测到的葡萄糖状态相关联的当前风险度量。 该方法可以包括识别与参考葡萄糖状态相关联的参考葡萄糖状态和参考风险度量，以及基于与检测到的葡萄糖状态和参考风险相关联的当前风险度量来计算对治疗递送装置的基础速率的调整 与参考葡萄糖水平相关的度量。
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公开(公告)号：US10463282B2
公开(公告)日：2019-11-05
申请号：US13645198
申请日：2012-10-04
Applicant: Roche Diagnostics Operations, Inc.
Inventor： David L. Duke , Abhishek S. Soni
Abstract: A system and method is provided for analyzing a glucose state. A method may include identifying a target glucose state and an initial glucose state. The method may include calculating a target return path for a transition from the initial glucose state to the target glucose state. The target return path may comprise at least one intermediate glucose state associated with the transition from the initial glucose state to the target glucose state. The target return path may be calculated based on a hazard associated with the at least one intermediate glucose state of the target return path.
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