NOVEL PLANAR SMALL ELECTRODE SENSOR FOR SKIN IMPEDANCE MEASUREMENT AND SYSTEM USING THE SAME
    1.
    发明申请
    NOVEL PLANAR SMALL ELECTRODE SENSOR FOR SKIN IMPEDANCE MEASUREMENT AND SYSTEM USING THE SAME 审中-公开
    用于皮肤抵抗测量的新型平面小电极传感器及其使用的系统

    公开(公告)号:US20130231547A1

    公开(公告)日:2013-09-05

    申请号:US13882497

    申请日:2011-09-15

    IPC分类号: A61B5/053

    CPC分类号: A61B5/0532 A61B5/0536

    摘要: Disclosed are a planar small electrode sensor for skin impedance measurement and a system using the same. The sensor include: a semiconductor substrate; an insulating layer formed on the substrate; and at least one pair of electrodes which are symmetrically formed on the insulating layer with respect to a vertical central line of the insulating layer, where the at least one pair of electrodes includes a reference electrode and a measuring electrode.

    摘要翻译: 公开了一种用于皮肤阻抗测量的平面小电极传感器和使用其的系统。 传感器包括:半导体衬底; 形成在所述基板上的绝缘层; 以及相对于绝缘层的垂直中心线对称地形成在绝缘层上的至少一对电极,其中至少一对电极包括参考电极和测量电极。

    CLINICAL DIAGNOSIS SUPPORT METHOD AND SYSTEM BASED ON HIERARCHICAL FUZZY INFERENCE TECHNOLOGY
    2.
    发明申请
    CLINICAL DIAGNOSIS SUPPORT METHOD AND SYSTEM BASED ON HIERARCHICAL FUZZY INFERENCE TECHNOLOGY 有权
    临床诊断支持方法和系统基于分层模糊感知技术

    公开(公告)号:US20130246330A1

    公开(公告)日:2013-09-19

    申请号:US13988346

    申请日:2011-08-01

    IPC分类号: G06N7/02

    摘要: Disclosed is a clinical diagnosis supporting method and system based on hierarchical fuzzy inference. The clinical diagnosis supporting method includes the steps of: (a) extracting check data of a plurality of check items for each of a plurality of patients from a respective check item database; (b) selecting a characteristic from the check data of each of the check items; (c) hierarchical fuzzy-inferring the check data from which the characteristic is selected, for each check item; (d) extracting a check opinion for each disease based on an output value of the fuzzy inference for each check item; and (e) making a synthetic clinical estimation based on the extracted check opinion.

    摘要翻译: 公开了一种基于分层模糊推理的临床诊断支持方法和系统。 临床诊断支持方法包括以下步骤:(a)从相应的检查项数据库提取多个患者中的每一个的多个检查项目的检查数据; (b)从每个检查项目的检查数据中选择特征; (c)对于每个检查项目,分级模糊 - 推断出选择特征的检查数据; (d)基于每个检查项目的模糊推理的输出值来提取每种疾病的检查意见; 和(e)基于提取的检查意见进行综合临床估计。

    Clinical diagnosis support method and system based on hierarchical fuzzy inference technology
    3.
    发明授权
    Clinical diagnosis support method and system based on hierarchical fuzzy inference technology 有权
    基于分层模糊推理技术的临床诊断支持方法和系统

    公开(公告)号:US09195948B2

    公开(公告)日:2015-11-24

    申请号:US13988346

    申请日:2011-08-01

    摘要: Disclosed is a clinical diagnosis supporting method and system based on hierarchical fuzzy inference. The clinical diagnosis supporting method includes the steps of: (a) extracting check data of a plurality of check items for each of a plurality of patients from a respective check item database; (b) selecting a characteristic from the check data of each of the check items; (c) hierarchical fuzzy-inferring the check data from which the characteristic is selected, for each check item; (d) extracting a check opinion for each disease based on an output value of the fuzzy inference for each check item; and (e) making a synthetic clinical estimation based on the extracted check opinion.

    摘要翻译: 公开了一种基于分层模糊推理的临床诊断支持方法和系统。 临床诊断支持方法包括以下步骤:(a)从相应的检查项数据库提取多个患者中的每一个的多个检查项目的检查数据; (b)从每个检查项目的检查数据中选择特征; (c)对于每个检查项目,分级模糊 - 推断出选择特征的检查数据; (d)基于每个检查项目的模糊推理的输出值来提取每种疾病的检查意见; 和(e)基于提取的检查意见进行综合临床估计。

    SIGNIFICANCE PARAMETER EXTRACTION METHOD AND ITS CLINICAL DECISION SUPPORT SYSTEM FOR DIFFERENTIAL DIAGNOSIS OF ABDOMINAL DISEASES BASED ON ENTROPY ROUGH APPROXIMATION TECHNOLOGY
    4.
    发明申请
    SIGNIFICANCE PARAMETER EXTRACTION METHOD AND ITS CLINICAL DECISION SUPPORT SYSTEM FOR DIFFERENTIAL DIAGNOSIS OF ABDOMINAL DISEASES BASED ON ENTROPY ROUGH APPROXIMATION TECHNOLOGY 审中-公开
    意义参数提取方法及其临床决策支持系统,用于基于熵粗略逼近技术的腹部疾病差异诊断

    公开(公告)号:US20130226611A1

    公开(公告)日:2013-08-29

    申请号:US13882500

    申请日:2011-09-23

    IPC分类号: G06Q10/10 G06Q50/22

    摘要: A significance parameter extraction method for differential diagnosis of abnormal diseases based on entropy rough approximation technology, including the steps of: (a) calculating clinical reference values from two different groups of clinical data extracted from a database storing a plurality of clinical data for each check item using an entropy maximization measure; (b) evaluating a clinical difference between the two different groups of clinical data and extracting candidate check items; (c) based on a reference value of a check item calculated from one of the groups of clinical data, converting attribute values of the check item into nominal attribute values; and (d) extracting significance parameters for differential diagnosis from the candidate check items extracted in the step (b).

    摘要翻译: 一种基于熵粗略近似技术的异常疾病鉴别诊断的重要参数提取方法,包括以下步骤:(a)从存储多个临床数据的数据库中提取的两组不同组的临床参考值计算每个检查 项目使用熵最大化度量; (b)评估两组临床资料和提取候选检查项目之间的临床差异; (c)基于从所述临床数据组之一计算出的检查项目的参考值,将所述检查项目的属性值转换为标称属性值; 以及(d)从步骤(b)中提取的候选检查项目提取鉴别诊断的显着性参数。