Fluorescence Spectrum Collection for Non-Invasive Glucose Testing
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Solution Overview
Problem
Current non-invasive blood glucose testing methods face challenges such as high costs, poor biocompatibility, susceptibility to interference, and difficulty in frequent and continuous testing due to the use of bulky and expensive laboratory-grade Raman spectroscopy systems, which are hindered by skin and subcutaneous tissue interference.
Innovation Solution
A method and system utilizing infrared and ultraviolet light to image and collect fluorescence spectral data from vascular and non-vascular areas, employing grayscale distribution to select testing and reference points, and a convolutional neural network model for accurate glucose concentration prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used for non-invasive blood glucose testing, then measurement accuracy is improved, but device complexity and cost increase due to requiring laboratory-grade systems
Solution Approach 1:
The patent extracts the essential measurement function from complex laboratory-grade Raman spectroscopy systems by using a simplified optical fiber-based configuration with a single light source and detector arrangement, retaining measurement capability while eliminating unnecessary system complexity
Solution Approach 2:
The patent uses optical fiber to transmit light and spectral information, creating a portable copy of the laboratory measurement capability that can be deployed in clinical settings without requiring the full laboratory infrastructure
2Ease of operation
If only blood vessel position is tested through skin and subcutaneous tissue, then non-invasive testing is achieved, but measurement accuracy deteriorates due to interference factors
Solution Approach 1:
The patent performs preliminary spectral measurements through the skin and subcutaneous tissue before the analyte measurement, using these preliminary data to identify and correct spectral aberrations and interference factors that would otherwise affect the final blood glucose measurement accuracy
3Measurement precision
If invasive blood glucose testing is used, then measurement accuracy is improved, but patient compliance and testing frequency deteriorate due to poor biocompatibility
Solution Approach 1:
The patent replaces the mechanical needle penetration system with an optical measurement system that uses light transmission through tissue, eliminating the physical invasion while maintaining measurement capability through spectral analysis of blood glucose
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 simultaneous collection of fluorescence spectral data from vascular and non-vascular areas, reducing interference and achieving low-cost, miniaturized, real-time, and accurate glucose testing without skin piercing.
Implementation Method 1
irradiating a first area by infrared light, and imaging the first area, to obtain a first image of an imaging area
Implementation Method 2
irradiating the first area by ultraviolet light, and imaging the first area based on an excited fluorescent radiation signal, to obtain a second image of the imaging area
Data Source
AI summary
The present invention provides a method and a system for collecting a fluorescence spectrum of an analyte, and a medium, and a device, which relate to the field of optical analysis. The method includes: irradiating and imaging a first area by infrared light to obtain a first image; dividing the first area into a testing point candidate area and a reference point candidate area based on grayscale distribution indicates uneven distribution of the analyte; irradiating and imaging the first area by ultraviolet light based on an excited fluorescent radiation signal, to obtain a second image; and based on a grayscale value selecting a testing point from the testing point candidate area, and collecting fluorescence spectral data of the testing point; and selecting a reference point from the reference point candidate area and collecting fluorescence spectral data of the reference point.