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    • 102. 发明授权
    • Method and system for quantitative assessment of facial emotion sensitivity
    • 面部情绪敏感度定量评估方法与系统
    • US08777630B2
    • 2014-07-15
    • US12561110
    • 2009-09-16
    • Charles J. Duffy
    • Charles J. Duffy
    • G09B19/00G09B13/00A61B13/00
    • A61B5/162A61B5/16A61B5/168A61B5/4064A61B5/4082A61B5/4088A61B5/411A61B5/4842G09B7/00G09B7/02G09B7/06
    • A method is presented to address quantitative assessment of facial emotion sensitivity of a subject, where the method comprises the steps of: (1) presenting at least one scene to the subject on a display, the scene comprising a plurality of faces and a background on a display, the plurality of faces comprising a plurality of facial expressions; (2) adjusting at least one facial expression on the scene; (3) receiving feedback from said subject via at least one input device; (4) quantitatively refining the received feedback; (5) modulating the adjusted facial expression relative to the accuracy of the received feedback; (6) (7) transforming the modulated facial expression; (8) calculating a critical threshold parameter; and (9) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of facial emotion sensitivity of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, a quantitative assessment profile of facial emotion sensitivity by psychophysical responses is generated on a tangible computer readable medium.
    • 提出一种方法来解决对象的面部情绪敏感性的定量评估,其中该方法包括以下步骤:(1)在显示器上向对象呈现至少一个场景,该场景包括多个面部和背景 显示器,所述多个面部包括多个面部表情; (2)调整现场至少一个面部表情; (3)经由至少一个输入装置接收来自所述对象的反馈; (4)定量地提炼收到的反馈; (5)相对于所接收的反馈的准确性来调节调整后的面部表情; (6)(7)转换调制面部表情; (8)计算临界阈值参数; 和(9)将临界阈值参数记录到有形计算机可读介质上。 一种用于定量评估受试者的面部情绪敏感性的装置,包括显示装置,输入装置,控制装置和有形计算机可读介质。 在最简单的意义上,在有形的计算机可读介质上产生了通过心理物理反应的面部情绪敏感度的定量评估概况。
    • 104. 发明申请
    • HEALTH CONDITION DETERMINATION METHOD AND HEALTH CONDITION DETERMINATION SYSTEM
    • 健康条件确定方法和健康条件确定系统
    • US20130324861A1
    • 2013-12-05
    • US13904136
    • 2013-05-29
    • FUJITSU LIMITED
    • Takahisa ANDOSeishi Okamoto
    • A61B5/0205
    • A61B5/7275A61B5/0205A61B5/4842G16H50/20
    • A health condition determination method including: acquiring a boundary range including one or more boundary values and a width in examination data, the examination data corresponding to an examination item in which a normal range and an abnormal range are set; identifying a plurality of determination candidate models each including a pattern for setting the normal range and the abnormal range for the examination item; calculating an accuracy corresponding to each of the plurality of determination candidate models based on model construction data corresponding to a disease related to the examination item; and determining, from the plurality of determination candidate models, a determination model that outputs whether determination data with respect to the examination item is normal or not based on the calculated accuracy.
    • 一种健康状况判定方法,包括:获取包含检查数据中的一个以上边界值和宽度的边界范围,对应于设定了正常范围和异常范围的检查项目的检查数据; 识别多个确定候选模型,每个确定候选模型包括用于设置检查项目的正常范围和异常范围的模式; 基于与所述检查项目相关的疾病对应的模型构造数据,计算与所述多个判定候选模型中的每一个相对应的准确度; 以及从所述多个确定候选模型中确定基于所计算的精度来输出关于所述检查项目的确定数据是否正常的确定模型。
    • 108. 发明申请
    • MULTI-MODAL IMAGING OF BLOOD FLOW
    • 血液流动多模态成像
    • US20130144140A1
    • 2013-06-06
    • US13701567
    • 2011-06-06
    • Blaise FrederickYunjie Tong
    • Blaise FrederickYunjie Tong
    • A61B5/00A61B5/026A61B5/02A61B5/0295A61B5/055A61B5/1455A61B5/0205
    • A61B5/0035A61B5/0042A61B5/0075A61B5/02014A61B5/02042A61B5/0261A61B5/0263A61B5/0295A61B5/055A61B5/14551A61B5/4064A61B5/4088A61B5/4244A61B5/4312A61B5/4842A61B5/4848A61B5/7203A61B5/7225A61B5/7278A61B5/742
    • The application features methods, devices, and systems for measuring blood flow in a subject. The computer-implemented methods include receiving functional magnetic resonance imaging (fMRI) data that provides information on at least one of volume or oxygenation of blood at one or more locations in a body over a first predetermined length of time. The methods also include receiving near-infrared spectroscopic (NIRS) imaging or measurement data representing at least one of blood concentration or oxygenation at a first portion of the body over a second predetermined length of time. The methods further include deriving, from the fMRI data corresponding to a second portion of the body, a time varying data set representing changes in blood oxygenation or volume or both blood oxygenation and volume at the second portion over the first predetermined length of time and determining, by a computing device, a time delay and a value of a similarity metric corresponding to a part of the spectroscopic imaging data that most closely matches the time varying data set. The time delay represents a difference between a first time in which blood flows from a third portion in the body to the first portion and a second time in which blood flows to the second portion from the third portion. The value of the similarity metric represents an amount of blood at the second portion. An estimate of a characteristic of at least one of blood flow or blood volume in the second portion at a given time is determined based on the time delay and the value of the similarity metric.
    • 该应用的特征在于测量受试者血液流动的方法,装置和系统。 计算机实现的方法包括接收功能性磁共振成像(fMRI)数据,该功能磁共振成像(fMRI)数据在第一预定时间长度上提供关于身体中的一个或多个位置的血液的体积或氧合中的至少一种的信息。 所述方法还包括在第二预定时间长度上接收表示身体第一部分的血液浓度或氧合中的至少一种的近红外光谱(NIRS)成像或测量数据。 所述方法还包括从对应于身体的第二部分的fMRI数据导出表示在第一预定时间长度上的血氧饱和度或体积变化或第二部分的血氧值和体积变化的时变数据集,并确定 通过计算设备,时间延迟和与最接近地匹配时变数据集的分光成像数据的一部分相对应的相似性度量的值。 时间延迟表示血液从身体的第三部分流向第一部位的第一次与血液从第三部分流向第二部分的第二次的差。 相似性度量的值表示第二部分处的血液量。 基于时间延迟和相似性度量的值来确定在给定时间的第二部分中的血流或血液体积中的至少一个的特性的估计。