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    • 12. 发明授权
    • Technique for diagnosing attention deficit hyperactivity disorder using complimentary tests
    • 使用免费测试诊断注意缺陷多动障碍的技术
    • US06746409B2
    • 2004-06-08
    • US10076261
    • 2002-02-14
    • Richard S. KeirsbilckRichard N. BlazeyPeter A. ParksDavid L. PattonPaige Miller
    • Richard S. KeirsbilckRichard N. BlazeyPeter A. ParksDavid L. PattonPaige Miller
    • A61B500
    • A61B5/168A61B5/7257A61B5/726
    • A method of determining threshold values, subsequently used to determine whether an individual has Attention Deficit Hyperactivity Disorder (ADHD) comprising: providing a group of subjects, a segment of which is known to have ADHD and a segment is known to not have ADHD; and testing each subject in the group by: (a) sampling the peripheral skin temperature of left and right like extremities during a predetermined time interval when the subject is in a sensory deprived state to provide respective left and right sampled peripheral skin temperature data; (b) processing the sampled peripheral skin temperature data, including filtering, differentiation, and conversion to the frequency domain to derive spectral signatures having magnitude values; and (c) final processing of spectral signatures for all of the subjects of the group to determine threshold values which are complimentarily effective for determining whether or not an individual has ADHD when tested by the testing method.
    • 一种确定阈值的方法,随后用于确定个体是否具有注意缺陷多动障碍(ADHD),其包括:提供一组受试者,其一部分已知具有ADHD并且已知细节不具有ADHD; 并且通过以下步骤对所述组中的每个受试者进行测试:(a)当所述对象处于感觉剥夺状态时,在预定时间间隔期间对左右四肢的外周皮肤温度进行采样,以提供相应的左和右采样的外周皮肤温度数据; (b)处理采样的外围皮肤温度数据,包括滤波,微分和转换到频域以导出具有幅度值的光谱特征; 和(c)对组的所有受试者的光谱特征的最终处理,以确定当通过测试方法测试时,个体具有ADHD是否有ADHD的阈值。
    • 14. 发明授权
    • Method of controlling a manufacturing process using multivariate analysis
    • 使用多变量分析控制制造过程的方法
    • US5442562A
    • 1995-08-15
    • US165155
    • 1993-12-10
    • Robert W. HopkinsPaige MillerRonald E. SwansonJohn J. Scheible
    • Robert W. HopkinsPaige MillerRonald E. SwansonJohn J. Scheible
    • G05B11/32G05B15/02G05B21/02G05B13/02
    • G05B21/02
    • In a manufacturing process using multivariate analysis for statistical process control, data representing a plurality of process and/or product variables is collected during operation of the process. A surrogate variable, representing the overall state of the process is evaluated. The surrogate variable is a function of a plurality of intermediate variables, which in turn are a function of the process and/or product variables. When the value of the surrogate variable is outside of a predetermined limit, the contributions to the surrogate variable by the intermediate variables are calculated. The intermediate variable with the largest contribution is identified and the contributions to the identified intermediate variable by the process variables is calculated., The process variables with the largest contribution to the identified intermediate variable are identified, and used to diagnose and correct the problem with the process.
    • 在使用用于统计过程控制的多变量分析的制造过程中,在过程的操作期间收集表示多个过程和/或产品变量的数据。 评估代表流程整体状态的代理变量。 替代变量是多个中间变量的函数,其又是过程和/或乘积变量的函数。 当替代变量的值超出预定极限时,计算出中间变量对替代变量的贡献。 确定贡献最大的中间变量,并计算过程变量对识别的中间变量的贡献,确定对所识别的中间变量贡献最大的过程变量,并用于诊断和纠正问题 处理。