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Multiband reflection spectrum noninvasive blood component measuring device and method

A reflectance spectrum and blood component technology, which is applied in the field of multi-band reflectance spectrum non-invasive blood component measurement devices, can solve problems such as large prediction errors, loss of useful information, and inability to cover all situations, so as to increase the amount of information, improve the analysis accuracy, The effect of less interference from the external environment

Active Publication Date: 2011-01-05
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the aforementioned studies, the number of bands selected is small, which cannot cover all situations, and a lot of useful information is lost, which is also the main reason for the large prediction error

Method used

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  • Multiband reflection spectrum noninvasive blood component measuring device and method
  • Multiband reflection spectrum noninvasive blood component measuring device and method
  • Multiband reflection spectrum noninvasive blood component measuring device and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] like figure 1 As shown, the broadband light source 1 emits a light beam in the ultraviolet, visible and near-infrared wavelength bands or a combined beam of several wavelength bands is introduced through the movable optical fiber 3, and the outgoing light is directly irradiated to a certain point of the tongue body 2, which reflects the light It is sent to the spectrometer 4 for acceptance. During the measurement, the fiber probe scans from the start position to the end position, and stops moving after moving to a set position to obtain the reflection spectrum at this position, and then the fiber probe moves to the next position again to collect the outgoing spectrum, and so on. , until the entire tongue surface reflectance spectral distribution measurement is completed. Spectrometer 4 applies the normalized calculation formula to the measured reflectance spectrum: R g =R / max(R)(1) for normalization, using principal component analysis (PCA, principle component analysi...

Embodiment 2

[0039] like figure 2 As shown, the broadband light source 1 emits a light beam in the ultraviolet, visible and near-infrared wavebands or a combined beam of several wavebands is introduced into the galvanometer 5 through the optical fiber 3, and the light reflected by the galvanometer is converged by the field mirror 6, and the converged light spot When the light is irradiated to a certain position of the tongue body 2, when the condensed light moves to a position of the measured part, the reflected light at this point of the measured part enters the spectrometer and receives it. At this point, the measurement of this position ends, and the motor controls the galvanometer to swing. Thereby, the movement of the light spot is driven, and the detection of the reflection spectrum of the whole tongue is realized. After scanning, the reflection spectrum is normalized by formula (1), using principal component analysis (PCA, principle component analysis), artificial neural network (A...

Embodiment 3

[0041] like image 3 As shown, the continuous monochromatic light emitted by the supercontinuum laser 1 directly illuminates the surface of the tongue body 2, and the reflected light of the tongue body is received by the spectral imager. The reflection spectrum is then normalized by formula (1), using principal component analysis (PCA, principle component analysis), artificial neural network (ANN, artificial neural network), partial least squares regression (PLSR, particle least squares calibration analysis) ), support vector machines (SVM, support vector machines) and other signal analysis and statistical methods to establish mathematical models. The newly collected unknown samples are normalized by the normalization method of the above formula (1), and then the normalized spectral data is used as an independent variable, and the established mathematical model is used for calculation to obtain the content of blood components.

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Abstract

The invention relates to multiband reflection spectrum noninvasive blood component measuring device and method. The device is provided with a scanning device for a tongue body by utilizing a light source and a spectrum receiving device for receiving a scanning signal of the scanning device, wherein the light source is a supercontinuum light source or wave band; the scanning device carries out scanning by adopting optical fibers, and the like; and the spectrum receiving device adopts a spectrograph or a hyperspectral imager. The method comprises the following steps of: scanning the reflection spectrum distribution of the whole tongue body surface by utilizing the light source through the optical fibers; obtaining a reflection spectrum generated by the tongue body by the spectrum receiving device; calculating a multiband normalized reflection spectrum of blood; establishing a mathematical model by utilizing methods of main component analysis, artificial neural network, partial least-square regression, support vector machine signal analysis and statistics to obtain normalized spectrum data; and calculating by applying the established mathematical model to obtain the blood component content. The invention resists interference, can obtain more spectrum information and the image information of a measured part, increases information amount and improves the analysis precision of the blood component content.

Description

technical field [0001] The present invention relates to a blood component measuring device. In particular, it relates to a multi-band reflection spectrum non-invasive blood component measuring device and method which can improve the analysis accuracy of blood component content. Background technique [0002] The importance and great value of non-invasive detection of blood components (such as red blood cells, hemoglobin, hematocrit, etc.) for the diagnosis and treatment of diseases is beyond doubt. Not only that, the realization of non-invasive detection of blood components also has great academic significance and value in signal sensing, detection and processing. However, the existing detection methods need to draw blood samples and use biochemical analysis methods for detection, which is not only cumbersome to operate, but also brings pain to patients, and also has the risk of contracting other diseases, which limits the frequency and scope of blood component detection. T...

Claims

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Application Information

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IPC IPC(8): A61B5/145
Inventor 李刚赵静林凌
Owner TIANJIN UNIV
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