Skin Spectral Analysis Model for 19 Biological Parameters
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Solution Overview
Problem
Current methods for quantitative analysis of skin parameters, such as eumelanin, pheomelanin, carotene, and bilirubin, are inaccurate and time-consuming, requiring multiple tests and prone to experimental errors, while existing spectroscopic methods fail to provide comprehensive and precise data on light absorption in human skin.
Innovation Solution
A method using mathematical models to calculate 19 biological parameters associated with light absorption in human skin, dividing the skin into four layers and establishing equations for light reflection and transmission to determine absorption coefficients, allowing for the simulation of skin spectra and precise quantitative analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate testing methods are used to measure different biological parameters (eumelanin, pheomelanin, carotene, bilirubin, hemoglobin, etc.), then comprehensive parameter data can be obtained, but test costs increase, time consumption increases, and experimental errors accumulate
Solution Approach 1:
The patent combines multiple separate testing methods into a single integrated spectral detection system that simultaneously measures all biological parameters (eumelanin, pheomelanin, carotene, bilirubin, hemoglobin, carbon monoxide hemoglobin, methemoglobin, sulphi hemoglobin, lipid) in one test session, eliminating the need for multiple separate experiments and reducing both time consumption and cumulative experimental errors
Solution Approach 2:
The patent develops a universal spectral analysis model that can quantify multiple different biological parameters using a single spectral detection system across the visible light range (400-700nm), making the system multi-functional for detecting various skin components without requiring separate specialized equipment for each parameter
2Ease of operation
If image-based skin analysis is used, then the analysis process is simple, but measurement accuracy is inferior to spectroscopy and cannot obtain other skin component parameters
Solution Approach 1:
The patent replaces image-based mechanical/optical analysis with spectral detection using a spectrometer that measures light absorption, reflection, and scattering properties across multiple wavelengths, substituting simple image processing with more sophisticated spectral analysis to achieve higher measurement accuracy and obtain additional skin component parameters
3Ease of operation
If bioimpedance detection is used for skin moisture measurement, then only a single component parameter can be detected, but the method is simple to implement
Solution Approach 1:
The patent transforms the single-function bioimpedance detector into a multi-functional spectral analysis system that can simultaneously detect multiple skin components (water, lipid, eumelanin, pheomelanin, carotene, bilirubin, hemoglobin variants) by analyzing light interaction across the visible spectrum, greatly expanding detection versatility while maintaining operational simplicity
4Difficulty of detecting and measuring
If ultrasound imaging is used for skin structure observation, then qualitative observation is possible, but quantitative analysis of skin parameters cannot be performed
Solution Approach 1:
The patent replaces ultrasound mechanical wave imaging with optical spectral detection that measures light absorption, reflection, and scattering properties, enabling both qualitative observation of skin structure and quantitative analysis of biological parameters through spectral data processing and mathematical modeling
5Difficulty of detecting and measuring
If X-ray CT imaging is used for three-dimensional skin structure analysis, then qualitative observation of skin tissues is possible, but quantitative analysis of skin parameters is impossible
Solution Approach 1:
The patent replaces X-ray CT imaging with optical spectral detection that analyzes light interaction with skin tissues, providing both three-dimensional structural information through spectral variations and quantitative analysis of biological parameters through absorption coefficient calculations and concentration determinations
6Ease of operation
If visual observation and comparison of some wavebands is used, then the method is simple to operate, but no information processing model has been formed and comprehensive analysis cannot be achieved
Solution Approach 1:
The patent implements continuous spectral detection across the entire visible light range (400-700nm) rather than discrete wavelength sampling, ensuring complete spectral information capture through continuous measurement and processing, enabling comprehensive analysis of all skin components without information loss
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method provides highly accurate and reliable simulations of skin spectra, enabling precise quantitative analysis of skin biological parameters and serving as a basis for big data processing, with improved precision and reduced test costs.
Implementation Method 1
Interaction between light and matter would cause electronic transitions between atomic energy levels or molecular energy levels inside the matter, which changes the wavelength and intensity information of the light absorption, reflection, scattering, etc.
Implementation Method 2
Interaction between light and matter would cause electronic transitions between atomic energy levels or molecular energy levels inside the matter, which changes the wavelength and intensity information of the light absorption, reflection, scattering, etc.
Implementation Method 3
Interaction between light and matter would cause electronic transitions between atomic energy levels or molecular energy levels inside the matter, which changes the wavelength and intensity information of the light absorption, reflection, scattering, etc.
Data Source
AI summary
A method for calculating 19 biological parameters associated with the light absorption of human skin by means of a mathematical model. This method establishes a relevance between the skin spectrum and the biological parameters associated with light absorption in the epidermal/dermal layer of skin, by establishing two levels of analytical models, namely, a skin spectral analysis model and a mathematical model of biological parameters in the skin associated with the light absorption, achieves virtual spectrums which are stimulated by a set of skin parameters, and then performs optimization iteration by information processing technology using the virtual spectrums and the actual spectrums, to find a set of optimized results which meets a specific standard of the goodness of fit, thus reaching the goal of quantitatively analyzing biological parameters associated with the light absorption in human skin.