Method of determining a weighted regression model and method of predicting a component concentration of mixture using the weighted regression model
    1.
    发明申请
    Method of determining a weighted regression model and method of predicting a component concentration of mixture using the weighted regression model 有权
    使用加权回归模型确定加权回归模型的方法和预测混合物成分浓度的方法

    公开(公告)号:US20050187445A1

    公开(公告)日:2005-08-25

    申请号:US11052289

    申请日:2005-02-08

    Applicant: Sang-joon Han

    Inventor: Sang-joon Han

    CPC classification number: G05B17/02

    Abstract: In a method of determining a regression model, and a method of predicting a component concentration of a test mixture using the regression model, the method of determining the regression model includes selecting a regression model, generating a plurality of observation points, each one of the plurality of observation points having a prediction target value and a measured value, determining a weight of the prediction target value and the measured value at each one of the plurality of observation points, and obtaining a calculation amount by reflecting the weights in differences between predicted values acquired by applying the measured values to the regression model and the prediction target values, and determining coefficients of the regression model to minimize the calculation amount.

    Abstract translation: 在确定回归模型的方法和使用回归模型预测测试混合物的组分浓度的方法中,确定回归模型的方法包括选择回归模型,生成多个观察点,每个观察点 多个具有预测目标值和测量值的观测点,确定多个观测点中的每一个观测点处的预测目标值和测量值的权重,并且通过反映预测值之间的差异的权重来获得计算量 通过将测量值应用于回归模型和预测目标值获得,并且确定回归模型的系数以最小化计算量。

    Method of determining a weighted regression model and method of predicting a component concentration of mixture using the weighted regression model
    2.
    发明授权
    Method of determining a weighted regression model and method of predicting a component concentration of mixture using the weighted regression model 有权
    使用加权回归模型确定加权回归模型的方法和预测混合物成分浓度的方法

    公开(公告)号:US07308366B2

    公开(公告)日:2007-12-11

    申请号:US11052289

    申请日:2005-02-08

    Applicant: Sang-joon Han

    Inventor: Sang-joon Han

    CPC classification number: G05B17/02

    Abstract: In a method of determining a regression model, and a method of predicting a component concentration of a test mixture using the regression model, the method of determining the regression model includes selecting a regression model, generating a plurality of observation points, each one of the plurality of observation points having a prediction target value and a measured value, determining a weight of the prediction target value and the measured value at each one of the plurality of observation points, and obtaining a calculation amount by reflecting the weights in differences between predicted values acquired by applying the measured values to the regression model and the prediction target values, and determining coefficients of the regression model to minimize the calculation amount.

    Abstract translation: 在确定回归模型的方法和使用回归模型预测测试混合物的组分浓度的方法中,确定回归模型的方法包括选择回归模型,生成多个观察点,每个观察点 多个具有预测目标值和测量值的观测点,确定多个观测点中的每一个观测点处的预测目标值和测量值的权重,并且通过反映预测值之间的差异的权重来获得计算量 通过将测量值应用于回归模型和预测目标值获得,并且确定回归模型的系数以最小化计算量。

    Method and apparatus for measuring a concentration of a component in a subject
    3.
    发明授权
    Method and apparatus for measuring a concentration of a component in a subject 有权
    用于测量受试者中组分浓度的方法和装置

    公开(公告)号:US07107087B2

    公开(公告)日:2006-09-12

    申请号:US10801612

    申请日:2004-03-17

    CPC classification number: A61B5/1455 A61B5/14532 G01J3/1256 G01N21/31

    Abstract: A method of measuring a concentration of a component in a subject includes setting an intensity relationship equation between a positive-order beam and a negative-order beam with respect to a reference matter at a particular wavelength, applying a light having a first wavelength band absorbed by the component and detecting an intensity of a positive-order beam output from the subject and an intensity of a negative-order beam output from the reference matter, the positive-order beam and the negative-order beam having a second wavelength band, calculating an intensity of a positive-order beam input to the subject by applying the intensity of the negative-order beam output from the reference matter to the intensity relationship equation, and calculating absorbance using the intensity of the positive-order beam output from the subject and the intensity of the positive-order beam input to the subject and measuring a concentration of the component using the absorbance.

    Abstract translation: 测定被检体内成分浓度的方法包括:在特定波长下设定正序光束与负光束之间的强度关系方程式,将具有吸收的第一波长带的光 通过分量并检测从对象输出的正阶光束的强度和从参考物质输出的负光束的强度,正阶光束和负光束具有第二波长带,计算 通过将从参考物质输出的负光束的强度施加到强度关系式来输入到对象的正阶光束的强度,并且使用从被摄体输出的正阶光束的强度来计算吸光度,以及 输入到对象的正阶光束的强度,并使用吸光度测量成分的浓度。

    Method and apparatus for estimating component concentration of a mixture
    4.
    发明授权
    Method and apparatus for estimating component concentration of a mixture 有权
    用于估计混合物的组分浓度的方法和装置

    公开(公告)号:US07289912B2

    公开(公告)日:2007-10-30

    申请号:US10964717

    申请日:2004-10-15

    Applicant: Sang-joon Han

    Inventor: Sang-joon Han

    CPC classification number: G01N21/274 A61B5/14532 A61B2560/0223

    Abstract: In a method of estimating a component concentration of a mixture, and an apparatus for performing the method, the method includes generating a global calibration model with respect to a calibration data set using a concentration value determined by a plurality of independent variables including a predetermined specific component, a concentration of which is intended to be estimated, as a dependent variable, dividing the calibration data set into at least two small groups according to a value of the dependent variable and generating local calibration models for each of the at least two small groups using the calibration data set included in the divided at least two small groups, and determining a small group to which a spectrum of the mixture belongs and estimating a concentration of the specific component using a local calibration model of the determined small group.

    Abstract translation: 在估计混合物的组分浓度的方法和用于执行该方法的装置中,该方法包括使用由多个独立变量确定的浓度值来生成关于校准数据集的全局校准模型,所述浓度值包括预定特定 组分,其浓度旨在被估计为因变量,根据因变量的值将校准数据集划分为至少两个小组,并为至少两个小组中的每一个生成局部校准模型 使用包括在划分的至少两个小组中的校准数据集,并且确定混合物的频谱属于的小组,并且使用所确定的小组的局部校准模型来估计特定分量的浓度。

    Method and apparatus for noninvasively measuring a concentration of a blood component
    6.
    发明授权
    Method and apparatus for noninvasively measuring a concentration of a blood component 有权
    用于非侵入性测量血液成分浓度的方法和装置

    公开(公告)号:US07248911B2

    公开(公告)日:2007-07-24

    申请号:US10802920

    申请日:2004-03-18

    Abstract: In an apparatus and method of noninvasively measuring a concentration of a blood component, the method includes (a) varying a thickness of a body part of a subject, measuring absorption spectrums at different thicknesses of the body part, obtaining a first differential absorption spectrum between the absorption spectrums measured at different thicknesses, actually measuring concentrations of the blood component, and establishing a statistical model using the first differential absorption spectrum and the actually measured concentrations; and (b) estimating the concentration of the blood component using a second differential absorption spectrum obtained with respect to the body part based on the statistical model.

    Abstract translation: 在非侵入性地测量血液成分浓度的装置和方法中,该方法包括:(a)改变被检体的身体部位的厚度,测量身体部位的不同厚度的吸收光谱,获得第一差异吸收光谱, 在不同厚度下测量的吸收光谱,实际测量血液成分的浓度,并使用第一个差示吸收光谱和实际测量的浓度建立统计模型; 和(b)基于统计模型使用相对于身体部位获得的第二差分吸收光谱估计血液成分的浓度。

    Method and apparatus for estimating component concentration of a mixture
    7.
    发明申请
    Method and apparatus for estimating component concentration of a mixture 有权
    用于估计混合物的组分浓度的方法和装置

    公开(公告)号:US20050086018A1

    公开(公告)日:2005-04-21

    申请号:US10964717

    申请日:2004-10-15

    Applicant: Sang-joon Han

    Inventor: Sang-joon Han

    CPC classification number: G01N21/274 A61B5/14532 A61B2560/0223

    Abstract: In a method of estimating a component concentration of a mixture, and an apparatus for performing the method, the method includes generating a global calibration model with respect to a calibration data set using a concentration value determined by a plurality of independent variables including a predetermined specific component, a concentration of which is intended to be estimated, as a dependent variable, dividing the calibration data set into at least two small groups according to a value of the dependent variable and generating local calibration models for each of the at least two small groups using the calibration data set included in the divided at least two small groups, and determining a small group to which a spectrum of the mixture belongs and estimating a concentration of the specific component using a local calibration model of the determined small group.

    Abstract translation: 在估计混合物的组分浓度的方法和用于执行该方法的装置中,该方法包括使用由多个独立变量确定的浓度值来生成关于校准数据集的全局校准模型,所述浓度值包括预定特定 组分,其浓度旨在被估计为因变量,根据因变量的值将校准数据集划分为至少两个小组,并为至少两个小组中的每一个生成局部校准模型 使用包括在划分的至少两个小组中的校准数据集,并且确定混合物的频谱属于的小组,并且使用所确定的小组的局部校准模型来估计特定分量的浓度。

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