Optical Analyte Imaging for Non-Invasive Glucose Signal Separation
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Solution Overview
Problem
Existing analyte testing technologies face challenges such as invasiveness, high cost, complexity, and difficulty in achieving real-time, portable, and accurate non-invasive measurements due to issues like mixed spectral signals and interference from skin components.
Innovation Solution
A method and system utilizing dual-wavelength imaging and fluorescence spectroscopy to distinguish analyte distribution and excitation signals, employing infrared and ultraviolet light to obtain spectral data, and a trained model for analysis, enabling non-invasive testing without electrochemical reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used for non-invasive blood glucose measurement, then measurement precision is improved, but device complexity and cost increase due to requiring laboratory-level equipment
Solution Approach 1:
The patent divides the spectral measurement into multiple discrete wavelength channels (first wavelength range and second wavelength range) that can be independently processed. This segmentation allows complex spectral data to be handled through simpler, parallel processing paths, reducing overall system complexity while maintaining measurement precision.
Solution Approach 2:
The patent introduces a spectral unmixing algorithm as an intermediary between the raw spectral signals and the final glucose concentration calculation. This algorithm acts as a mediator that separates analyte signals from skin tissue interference, enabling accurate measurements without requiring complex hardware systems.
2Measurement precision
If hyperspectral data analysis is used for non-invasive testing, then measurement precision is improved, but device complexity increases and real-time portable testing becomes difficult
Solution Approach 1:
The patent measures spectral signals at multiple specific wavelength ranges (first and second ranges) rather than requiring full hyperspectral coverage. This partial action approach captures sufficient information for accurate glucose measurement while significantly reducing data processing requirements, enabling real-time portable testing.
Solution Approach 2:
The patent extracts and processes spectral data from specific wavelength ranges that are most informative for glucose detection, separating these critical wavelengths from the rest of the spectrum. This extraction allows the system to focus computational resources on the most relevant data, achieving real-time results without full hyperspectral analysis.
3Measurement precision
If absorption spectroscopy is used to measure blood glucose, then measurement precision is improved, but reliability decreases due to mixed spectral signals from skin components
Solution Approach 1:
The patent segments the spectral measurement into distinct wavelength ranges: a first range for capturing skin tissue absorption characteristics and a second range for capturing glucose-related signals. This segmentation allows independent analysis of each component, improving the reliability of glucose measurement by separating it from skin interference.
Solution Approach 2:
The patent extracts and removes skin tissue spectral signals from the total measurement through algorithmic separation. By identifying and subtracting the skin component signals, the system isolates the glucose-related spectral information, thereby improving the correlation between measured signals and actual blood glucose concentration.
Solution Approach 3:
The patent uses a feedback mechanism where the processed spectral data is continuously compared with reference values and adjustment factors are applied. This feedback loop compensates for variations in skin properties and measurement conditions, maintaining high reliability of glucose measurements across different subjects and conditions.
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
Enables accurate, low-cost, and miniaturized real-time analyte testing by distinguishing analyte-specific spectral signals, excluding interference from non-analyte components, and providing high accuracy without skin piercing.
Implementation Method 1
obtain spectral data indicating uneven distribution in the imaging area of a reflection signal or an excitation signal generated by the analyte when irradiated by light
Implementation Method 2
obtain spectral data indicating uneven distribution in the imaging area of a reflection signal or an excitation signal generated by the analyte when irradiated by light
Data Source
AI summary
The present invention provides a method and a system for testing an analyte, a medium, and a device which relate to the field of optical analysis. The method comprises: imaging: irradiating a first area by light within a preset wavelength range, and imaging the first area, to obtain an image of an imaging area; spectrum obtaining: obtaining, from the image, spectral data that indicate uneven distribution in the imaging area of a reflection signal or an excitation signal generated by the analyte when irradiated by light; and analyzing step: obtaining information about the analyte in the imaging area based on the obtained spectral data, wherein the information about the analyte comprises information about the analyte correlated to the spectral data.