Analyte Test Display for Real-Time Results and Trend Charts
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Solution Overview
Problem
Existing analyte testing technologies face challenges such as invasiveness, limited accuracy, and portability issues, particularly in non-invasive methods like Raman spectroscopy and hyperspectral data analysis, which struggle with signal separation and interference from skin components, leading to inaccurate glucose concentration measurements.
Innovation Solution
A non-invasive analyte testing method using fluorescence spectroscopy that distinguishes between spectral signals from blood vessels and surrounding skin using infrared and ultraviolet light, combined with a convolutional neural network model for accurate glucose concentration prediction, enabling real-time, miniaturized, and cost-effective testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Raman spectroscopy is used for non-invasive testing, then non-invasive measurement can be achieved, but the device becomes bulky and cannot be portable
Solution Approach 1:
The patent segments the spectral signal into different wavelength components, separating the analyte signal from skin tissue interference signals. This segmentation allows the use of simplified optical components rather than complex laboratory-grade Raman systems, enabling portability while maintaining non-invasive measurement capability
Solution Approach 2:
The patent changes the spectral parameter by selecting specific wavelength ranges where analyte absorption differs from skin tissue absorption. By operating at optimized wavelengths, the system achieves selective detection without requiring bulky monochromators or complex spectral separation equipment
2Loss of information
If hyperspectral data analysis is used, then spectral signals can be collected, but spectral signals of different wavelengths are mixed together making it difficult to perform fine separation and extract spectral signal related to blood glucose
Solution Approach 1:
The patent extracts the analyte-specific spectral signal from the mixed hyperspectral data by identifying and isolating wavelength regions where the analyte has characteristic absorption peaks. This extraction process separates the useful analyte signal from the interfering skin tissue signals, enabling accurate glucose measurement without complex deconvolution algorithms
Solution Approach 2:
The patent performs preliminary spectral preprocessing including noise filtering, baseline correction, and wavelength selection before analysis. By preparing the spectral data in advance and selecting only the most informative wavelength regions, the system simplifies subsequent analysis and improves detection accuracy without requiring full hyperspectral processing
3Ease of operation
If absorption spectroscopy is used for non-invasive testing, then testing can be performed, but spectral signals are easily affected by factors such as differences in excitation light sources, human skin colors, and epidermal thicknesses, resulting in inaccurate measurements
Solution Approach 1:
The patent incorporates feedback mechanisms where the system measures skin properties (such as baseline absorption characteristics) and adjusts the spectral analysis parameters accordingly. This adaptive feedback compensates for variations in skin color, thickness, and excitation source characteristics, maintaining measurement accuracy across different users and conditions
Solution Approach 2:
The patent introduces reference wavelength regions as intermediaries that measure skin tissue properties without containing analyte signals. These reference measurements serve as mediators to normalize and compensate for variations in skin characteristics and excitation conditions, isolating the true analyte signal from confounding factors
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, real-time, and non-invasive glucose concentration measurements by isolating spectral signals from blood vessels, reducing interference, and improving user convenience and accuracy through a portable device.
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
A non-invasive analyte testing method using fluorescence spectroscopy that distinguishes between spectral signals from blood vessels and surrounding skin using infrared and ultraviolet light
Data Source
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AI summary
The present invention provides an information display method and system in analyte testing, a medium, and a device. The method includes: instruction obtaining: obtaining an operation instruction from a user, where the operation instruction includes a testing instruction and a statistical instruction; first displaying: when the operation instruction is the testing instruction, starting a testing process of an analyte testing system and displaying a name of a process being performed on a display, and after the testing process is completed, displaying a test result and a preset reference range of an analyte on the display; and second displaying: when the operation instruction is the statistical instruction, obtaining historical test results from a memory of the analyte testing system, processing the obtained historical test results into a chart form, and displaying a chart on the display.