Non-invasive Tissue Detection Using Multi-Distance NIR Spectroscopy
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Solution Overview
Problem
Near-infrared spectroscopy for non-invasive tissue element detection faces challenges due to weak absorption and small concentration changes, making it difficult to extract valid signals from background noise, and current methods struggle to accurately determine reference and measurement distances, leading to low detection accuracy.
Innovation Solution
A method and device that acquire light intensity values at multiple source-detection distances to determine measurement and reference distances based on absolute light intensity variations, allowing for precise determination of tissue element concentrations by distinguishing between signal and interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If near-infrared spectroscopy is used for non-invasive tissue element detection, then rapid and non-invasive detection is achieved, but detection accuracy deteriorates due to weak absorption and small concentration changes
Solution Approach 1:
The patent segments the detection process by dividing it into reference detection and measurement detection at different source-detection distances. The reference distance detects background interference while the measurement distance detects tissue element signals, allowing separate handling of interference and signal components to improve overall detection accuracy
Solution Approach 2:
The patent introduces a reference detection channel as an intermediary that measures background interference separately. This reference channel acts as a mediator to identify and compensate for interference effects, enabling more accurate extraction of tissue element signals from the measurement channel
2Measurement precision
If reference measurement method based on floating reference theory is used, then ability to distinguish signal from interference is improved, but device complexity increases due to multiple source-detection distances
Solution Approach 1:
The patent makes the detection system universal by implementing multiple source-detection distance channels that can serve different functions. The same detection device can operate at reference distance for interference detection, at measurement distance for tissue element detection, or both simultaneously, providing multi-functional capability without requiring separate dedicated devices
Solution Approach 2:
The patent implements dynamic selection of source-detection distances based on detection needs. The system can dynamically switch between reference distance mode, measurement distance mode, or combined mode, allowing flexible adaptation to different detection scenarios and tissue types without fixed structural constraints
3Device complexity
If limited number of source-detection distances is used, then device complexity is reduced, but detection accuracy deteriorates due to inability to accurately determine reference and measurement distances
Solution Approach 1:
The patent adds the dimension of spectral information by implementing wavelength selection across multiple predetermined wavelengths. This spectral dimension complements the spatial dimension of source-detection distances, creating a two-dimensional detection space that enables accurate determination of reference and measurement distances while maintaining reasonable device complexity through systematic wavelength sampling
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
Improves detection accuracy by accurately determining measurement and reference distances, enhancing the ability to differentiate between tissue element signals and background noise, thereby improving the precision of non-invasive tissue element concentration measurements.
Implementation Method 1
acquiring, for a detected site of a detected object, a first light intensity value corresponding to each predetermined wavelength of at least one predetermined wavelength at each source-detection distance of at least two source-detection distances
Data Source
AI summary
A non-invasive detection method, device, system and wearable apparatus for tissue element. The method includes: acquiring, for a detected site of a detected object, second light intensity measurement value for each predetermined wavelength of at least one predetermined wavelength at a measurement distance, and/or a second light intensity reference value for each predetermined wavelength of at least one predetermined wavelength at a reference distance, wherein the measurement distance is a source-detection distance corresponding to a first light intensity measurement value, and the reference distance is a source-detection distance corresponding to a first light intensity reference value and determining a concentration of a tissue element to be detected according to the second light intensity measurement value for each predetermined wavelength and/or the second light intensity reference value for each predetermined wavelength.