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:
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:
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:
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:
In a mobile terminal having a skin permeation device, and an apparatus and a method for analyzing a body fluid using the same, the skin permeation device includes a control unit for outputting an oscillation start signal in response to an input signal, an oscillating unit for receiving the oscillation start signal and for outputting an oscillation signal having a predetermined frequency, and an output unit for outputting an ultrasonic signal to a diagnosis region of a user in response to the oscillation signal, the output unit being operable to perform skin permeation.
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:
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.