Dual-Light Blood Vessel Imaging for Accurate Analyte Testing
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Solution Overview
Problem
Existing non-invasive analyte testing methods, such as Raman spectroscopy, are inaccurate due to the inability to accurately locate blood vessels and are prone to interference from fluorescent spots, while invasive methods like electrochemical reactions cause discomfort. Additionally, laboratory-level equipment is bulky and expensive.
Innovation Solution
An image processing method using infrared and ultraviolet light to distinguish between blood vessel and non-blood vessel areas, followed by selecting testing points with controlled grayscale differences to minimize interference and enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used for non-invasive blood glucose testing, then testing accuracy is improved, but device complexity and cost increase due to laboratory-level equipment requirements
Solution Approach 1:
The patent segments the imaging area into different grayscale areas based on infrared image data, then selects specific testing points from ultraviolet image data corresponding to these segmented areas. This segmentation approach allows the system to focus on blood vessel regions while excluding fluorescent spots, achieving accurate non-invasive glucose testing without requiring complex laboratory equipment
Solution Approach 2:
The patent uses infrared light imaging as an intermediary to identify blood vessel locations and grayscale area characteristics before performing ultraviolet fluorescence spectroscopy. This intermediary infrared imaging step enables the system to select appropriate testing points and exclude fluorescent spots, simplifying the overall system requirements while maintaining testing accuracy
2Measurement precision
If fluorescent spots are present in the imaging area, then measurement precision is improved for detecting analytes, but harmful factors increase due to inaccurate spectral data calculation
Solution Approach 1:
The patent extracts and removes fluorescent spots from the imaging area by first identifying them through infrared imaging characteristics (grayscale values) and then excluding their corresponding regions from the ultraviolet fluorescence measurement. This extraction process ensures that only valid blood vessel regions are used for spectral data calculation, eliminating fluorescent spot interference
Solution Approach 2:
The patent applies different processing strategies to different regions of the imaging area based on their local characteristics. By dividing the area into grayscale regions and selecting testing points specifically in blood vessel areas (identified through infrared imaging), the system ensures high measurement precision in relevant regions while excluding problematic fluorescent spot regions
3Measurement precision
If invasive electrochemical methods are used for glucose testing, then measurement precision is improved, but ease of operation deteriorates due to skin penetration requirements
Solution Approach 1:
The patent replaces the mechanical invasive electrochemical method with an optical non-invasive method. Instead of penetrating the skin to measure glucose directly, the system uses infrared and ultraviolet light to detect glucose through fluorescence emission from blood vessels, eliminating the need for skin penetration while maintaining measurement precision
4Ease of operation
If testing points are selected without considering grayscale distribution, then ease of operation is improved, but measurement precision deteriorates due to inaccurate blood vessel location
Solution Approach 1:
The patent performs preliminary infrared imaging and grayscale area division before selecting testing points for ultraviolet measurement. This preliminary action identifies blood vessel locations and their corresponding grayscale areas in advance, enabling accurate testing point selection without complicating the overall operation. The system automatically determines which regions require measurement based on the preliminary infrared analysis
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
Accurately locates blood vessels, reduces fluorescent spot interference, and enables non-invasive analyte testing with improved accuracy and cost-effectiveness, allowing for real-time, pain-free glucose monitoring.
Implementation Method 1
irradiating a first area by infrared light, and imaging the first area
Implementation Method 2
irradiating the first area by ultraviolet light, and imaging the first area, to obtain a second image
Data Source
AI summary
The present invention provides an image processing method and system in analyte testing, a medium, and a device. The method includes: irradiating and imaging a first area by infrared light to obtain an image of an imaging area; dividing the imaging area into different grayscale areas; selecting a grayscale area whose grayscale value meets preset requirements as an area in which a blood vessel is located; irradiating and imaging a first area by ultraviolet light to obtain a second image of the imaging area; selecting a plurality of pixels as a testing point; and calculating a grayscale average value, removing a testing point with a difference exceeds a preset range, and supplementing and selecting a new testing point again, until a difference between a grayscale value and a grayscale average value of each testing point is within the preset range.