Dual-Wavelength Analyte Testing for Non-Invasive Signal Separation
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Solution Overview
Problem
Existing non-invasive optical testing technologies for analytes, such as blood glucose, are inaccurate due to interference from non-analytes and difficulties in separating spectral signals, leading to unreliable results, and lack portability and real-time capabilities.
Innovation Solution
A method and system utilizing dual-wavelength imaging and fluorescence spectroscopy to collect spectral data from distinct areas of the skin, using infrared and ultraviolet light to distinguish and extract analyte-specific signals, processed through a trained analyte testing model for accurate analyte level management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If absorption spectroscopy is used to collect spectral signals from skin tissue, then non-invasive testing is achieved, but spectral signals of different components (blood glucose, skin tissue) are mixed together making fine separation difficult
Solution Approach 1:
The patent segments the spectral measurement process by using two different excitation wavelengths (first wavelength for blood glucose detection, second wavelength for skin tissue detection) and separately processing the spectral signals from each wavelength to extract pure blood glucose information
Solution Approach 2:
The patent changes the excitation wavelength parameter to differentiate between analyte and non-analyte signals. By selecting specific wavelengths where blood glucose and skin tissue have different absorption characteristics, the system can separate and identify pure analyte spectral signals
2Reliability
If multiple biological signals are collected from different body positions using multiple sensors, then comprehensive data is obtained, but the testing algorithm becomes excessively complicated and portability is lost
Solution Approach 1:
The patent extracts only the essential spectral features needed for blood glucose detection by using wavelength-specific excitation. Instead of collecting and processing multiple complex biological signals, the system focuses on extracting pure spectral signals at specific wavelengths, simplifying the overall testing algorithm
3Measurement precision
If Raman spectroscopy is used to measure blood glucose concentration, then higher accuracy is achieved, but the system becomes bulky and expensive requiring laboratory-level equipment
Solution Approach 1:
The patent uses inexpensive light sources (laser diodes or LEDS) instead of complex Raman spectroscopy equipment. The system employs affordable absorption spectroscopy with simple optical components that can be miniaturized for portable use while maintaining measurement accuracy
Solution Approach 2:
The patent replaces the complex mechanical and optical systems of Raman spectroscopy with a simpler absorption spectroscopy approach using basic light sources and detectors. This substitution enables portable, miniaturized blood glucose monitoring without requiring laboratory-level equipment
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 accurate, non-invasive, and portable real-time testing by isolating analyte-specific spectral data, reducing interference from non-analytes and enabling miniaturized systems with improved test results.
Implementation Method 1
Absorption spectroscopy is used in the document. Spectral signals collected and analyzed include not only a spectral signal of blood glucose, but also a spectral signal of components such as skin tissue.
Implementation Method 2
the light in the second wavelength range can cause the analyte to excite a fluorescence radiation signal, and a main peak of a fluorescence spectrum of the fluorescence radiation signal is within the effective response range of the imaging spectrum detection apparatus
Data Source
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AI summary
The present invention provides a method and a system for managing an analyte level, a method and a system for testing an analyte, a medium, and a device, which relate to the field of optical analysis. The method includes: data collecting step: collecting in real time spectral data that indicate uneven distribution in an imaging area of a reflection signal or an excitation signal generated by an analyte when irradiated by light; model analyzing step: inputting the collected spectral data into an analyte testing model to obtain an analyte level in the imaging area, where the analyte level includes information about the analyte correlated to the spectral data; and prompting step: displaying prompting information when the analyte level is beyond a preset range.