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    • 2. 发明授权
    • Techniques for implementing virtual persons in a system to train medical personnel
    • 在系统中实施虚拟人员培训医务人员的技术
    • US08317518B2
    • 2012-11-27
    • US11672161
    • 2007-02-07
    • Bruce JarrellSergei NirenburgMarjorie Joan McShaneStephen Beale
    • Bruce JarrellSergei NirenburgMarjorie Joan McShaneStephen Beale
    • G09B23/28
    • G06Q50/22G06F19/00G09B5/00G09B7/00G16H40/20
    • Techniques for delivering medical care include receiving normal data that indicates normal conditions in a patient. Abnormality data is received and indicates an abnormal condition, if any, in a patient. An instance of a virtual patient is generated based on the normal data and the abnormality data. The instance includes a physiological component that describes a sufficiently comprehensive physical state of a patient having the abnormal condition to simulate clinical measurements of the patient's condition. The instance also includes a cognitive component that describes a patient's awareness of symptoms, history of behavior and ability to convey information in response to queries. Action data is received from a trainee. Response data is generated based on the action data and the instance. Display data is presented based on the response data, and indicates information about the instance available as a result of the requested action.
    • 用于提供医疗护理的技术包括接收表示患者正常状况的正常数据。 接收异常数据,并指示患者的异常状况(如果有的话)。 基于正常数据和异常数据生成虚拟患者的实例。 该实例包括描述患有具有模拟临床测量患者状况的异常状况的患者的足够全面的物理状态的生理部件。 该实例还包括描述患者对症状的认识,行为历史以及响应于查询传达信息的能力的认知组件。 从受训人员收到行动资料。 基于动作数据和实例生成响应数据。 基于响应数据显示显示数据,并且指示作为所请求动作的结果可用的实例的信息。
    • 3. 发明申请
    • Techniques for Implementing Virtual Persons in a System to Train Medical Personnel
    • 在培训医务人员系统中实施虚拟人员的技术
    • US20080015418A1
    • 2008-01-17
    • US11672161
    • 2007-02-07
    • Bruce JarrellSergei NirenburgMarjorie McShaneStephen Beale
    • Bruce JarrellSergei NirenburgMarjorie McShaneStephen Beale
    • A61B5/00G06Q50/00
    • G06Q50/22G06F19/00G09B5/00G09B7/00G16H40/20
    • Techniques for delivering medical care include receiving normal data that indicates normal conditions in a patient. Abnormality data is received and indicates an abnormal condition, if any, in a patient. An instance of a virtual patient is generated based on the normal data and the abnormality data. The instance includes a physiological component that describes a sufficiently comprehensive physical state of a patient having the abnormal condition to simulate clinical measurements of the patient's condition. The instance also includes a cognitive component that describes a patient's awareness of symptoms, history of behavior and ability to convey information in response to queries. Action data is received from a trainee. Response data is generated based on the action data and the instance. Display data is presented based on the response data, and indicates information about the instance available as a result of the requested action.
    • 用于提供医疗护理的技术包括接收表示患者正常状况的正常数据。 接收异常数据,并指示患者的异常状况(如果有的话)。 基于正常数据和异常数据生成虚拟患者的实例。 该实例包括描述患有具有模拟临床测量患者状况的异常状况的患者的足够全面的物理状态的生理部件。 该实例还包括描述患者对症状的认识,行为历史以及响应于查询传达信息的能力的认知组件。 从受训人员收到行动资料。 基于动作数据和实例生成响应数据。 基于响应数据显示显示数据,并且指示作为所请求动作的结果可用的实例的信息。
    • 4. 发明申请
    • Using equivalence points to compare athletic performances across distance, gender, exact age, event and course differences
    • 使用等价点来比较距离,性别,确切年龄,事件和课程差异的运动表现
    • US20070250291A1
    • 2007-10-25
    • US11408891
    • 2006-04-24
    • Stephen Beale
    • Stephen Beale
    • G21C17/00
    • A63B24/0062A63B2024/0065A63B2220/30A63B2244/18A63B2244/20
    • Hundreds of thousands of youths participate in racing sports in the United States. Racing sports, such as swimming, track and speed skating all use elapsed time as the primary measure of achievement. But an elapsed time by itself, such as 55.23 seconds, is of little value in determining if a particular performance was “good.” A “good” time for one age, gender, event, distance and/or race condition might not be a “good” time under a different set of factors. Various time standards have been created to rank athletic performances. These standards are generally set up to evaluate the performances of athletes within an age group which typically ranges from one to two years. Unfortunately, athletic performances vary widely within such age groups. It is very difficult to compare the performances of two athletes who have an age difference of a few months. The methodologies described herein will overcome the inherent approximations in these existing performance standard systems. My methodology will calculate an exact age-adjusted point value for a given performance. Given this exact, age-adjusted point value for the elapsed time of a specific race, my methodology will then be able to convert that elapsed time to the expected elapsed time of an equivalent performance under a different set of factors (for example, a different event, length, course, age and/or gender).
    • 数十万青年参加了美国的赛车运动。 赛跑运动,如游泳,跑步,速度滑冰等都是以时间流逝为主要成就的衡量标准。 但是,自己经过的时间,如55.23秒,在确定一个特定的表演是否“很好”时没有什么价值。 一个年龄,性别,事件,距离和/或种族条件的“好”时间可能不是一个不同的因素的“好”时间。 已经制定了各种时间标准来评定运动表演。 这些标准通常被设定为评估年龄组中通常为1至2年的运动员的表现。 不幸的是,这些年龄组的运动表现差异很大。 比较两个年龄差异几个月的两名运动员的表现很难比较。 本文描述的方法将克服这些现有性能标准系统中的固有近似。 我的方法将计算给定表现的精确年龄调整点值。 根据特定比赛经过时间的精确的年龄调整点值,我的方法将能够将经过的时间转换为不同的因素下的等效演出的预期逝去时间(例如,不同的 事件,长度,课程,年龄和/或性别)。