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    • 6. 发明授权
    • Inferring wellness from physiological conditions data
    • 从生理条件数据中发现健康
    • US08038615B2
    • 2011-10-18
    • US11751657
    • 2007-05-22
    • Kevin M. GobeynAndrew F. KurtzDonald E. Olson
    • Kevin M. GobeynAndrew F. KurtzDonald E. Olson
    • A61B5/00
    • A61B5/0059A61B5/411A61B5/442A61B5/444A61B5/445A61B5/4547G06F19/00
    • A method for inferring the physiological condition an individual using a physiological monitoring system including providing a set of personal data regarding the individual, the personal data including wellness parameter data or semantic data or both, wherein the wellness parameters correspond to known physiological attributes for the individual; acquiring physiological data of the individual and associated capture condition data, during multiple capture events; calculating wellness parameter data for the individual, using the physiological data and the capture condition data; analyzing the wellness parameter data to identify changes in the wellness parameter data; and inferring the physiological condition of the individual from the changes in the wellness parameter data in view of the semantic data.
    • 一种用于使用生理监测系统推断个体的生理状态的方法,包括提供关于个体的一组个人数据,个人数据包括健康参数数据或语义数据或两者,其中健康参数对应于个体的已知生理属性 ; 在多次捕获事件期间获取个体和相关捕获条件数据的生理数据; 使用生理数据和捕获条件数据计算个体的健康参数数据; 分析健康参数数据以识别健康参数数据的变化; 并根据语义数据从健康参数数据的变化推断出个体的生理状态。
    • 8. 发明申请
    • IMAGE DATA NORMALIZATION FOR A MONITORING SYSTEM
    • 监测系统的图像数据正常化
    • US20080294017A1
    • 2008-11-27
    • US11751652
    • 2007-05-22
    • Kevin M. GobeynAndrew F. KurtzDonald E. OlsonThomas E. Madden
    • Kevin M. GobeynAndrew F. KurtzDonald E. OlsonThomas E. Madden
    • A61B5/00
    • A61B5/445A61B3/113A61B5/0088A61B5/411A61B5/442A61B5/444A61B5/4547G06F19/00G06F19/321G06F19/3418G16H50/20
    • A method for providing normalized physiological monitoring data of an individual with a measure of the quality of the normalization, including providing a reference feature based on a physiological attribute of the individual for which an attribute value can be determined; unobtrusively capturing physiological monitoring data for the individual during a series of capture events and determining the capture conditions present during each capture event; detecting the presence of the reference feature in the series of captured physiological monitoring data and determining associated attribute values for each capture event; normalizing the captured physiological monitoring data from each capture event according to differences in the attribute values associated with each event and previously calculated attribute values; and calculating normalization confidence values for the individual at the series of capture events, based on capture conditions, normalization transforms, or semantic data, wherein the confidence values statistically measure the quality of the normalization.
    • 一种用于以标准化质量的量度来提供个体的归一化生理监测数据的方法,包括基于可以确定属性值的个人的生理属性提供参考特征; 在一系列捕获事件期间不引人注目地捕获个体的生理监测数据,并确定每次捕获事件期间存在的捕获条件; 检测所述一系列捕获的生理监测数据中参考特征的存在并确定每个捕获事件的相关属性值; 根据与每个事件相关联的属性值和先前计算的属性值的差异,从每个捕获事件归一化捕获的生理监测数据; 以及基于捕获条件,归一化变换或语义数据计算所述捕获事件序列中的个体的归一化置信度值,其中所述置信度值统计地测量所述归一化的质量。
    • 9. 发明授权
    • Image data normalization for a monitoring system
    • 监控系统的图像数据归一化
    • US07972266B2
    • 2011-07-05
    • US11751652
    • 2007-05-22
    • Kevin M. GobeynAndrew F. KurtzDonald E. OlsonThomas E. Madden
    • Kevin M. GobeynAndrew F. KurtzDonald E. OlsonThomas E. Madden
    • A61B5/00G06K9/80H04N5/243
    • A61B5/445A61B3/113A61B5/0088A61B5/411A61B5/442A61B5/444A61B5/4547G06F19/00G06F19/321G06F19/3418G16H50/20
    • A method for providing normalized physiological monitoring data of an individual with a measure of the quality of the normalization, including providing a reference feature based on a physiological attribute of the individual for which an attribute value can be determined; unobtrusively capturing physiological monitoring data for the individual during a series of capture events and determining the capture conditions present during each capture event; detecting the presence of the reference feature in the series of captured physiological monitoring data and determining associated attribute values for each capture event; normalizing the captured physiological monitoring data from each capture event according to differences in the attribute values associated with each event and previously calculated attribute values; and calculating normalization confidence values for the individual at the series of capture events, based on capture conditions, normalization transforms, or semantic data, wherein the confidence values statistically measure the quality of the normalization.
    • 一种用于以标准化质量的量度来提供个体的归一化生理监测数据的方法,包括基于可以确定属性值的个人的生理属性提供参考特征; 在一系列捕获事件期间不引人注目地捕获个体的生理监测数据,并确定每次捕获事件期间存在的捕获条件; 检测所述一系列捕获的生理监测数据中参考特征的存在并确定每个捕获事件的相关属性值; 根据与每个事件相关联的属性值和先前计算的属性值的差异,从每个捕获事件归一化捕获的生理监测数据; 以及基于捕获条件,归一化变换或语义数据计算所述捕获事件序列中的个体的归一化置信度值,其中所述置信度值统计地测量所述归一化的质量。