Wearable Tissue Measurement Using Multi-Distance NIR Signal Isolation
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Solution Overview
Problem
Existing near-infrared spectroscopy methods for non-invasive tissue element detection face challenges due to weak absorption and interference from the human body background, leading to low detection accuracy and difficulty in extracting valid signals.
Innovation Solution
Determine reference and measurement distances by analyzing light intensity variations at different source-detection distances to isolate tissue element signals from interference, using a method that involves forming target ring beams and adjusting photosensitive surface arrangements to accurately measure light intensity values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If near-infrared spectroscopy is used for non-invasive tissue element detection, then rapid and multidimensional information can be obtained, but the detection accuracy is low due to weak absorption and interference from human body background
Solution Approach 1:
The patent divides the detection process into multiple source-detection distance positions. By segmenting the light detection into different spatial positions (first position, second position, third position, etc.), the system can separately analyze light intensity variations at each position to identify and isolate tissue element signals from background interference.
Solution Approach 2:
The patent applies different detection strategies to different spatial positions. Each source-detection distance position has its own light intensity characteristics, and the system tailors the analysis method to each position's specific properties, particularly focusing on positions where tissue element absorption causes maximum light intensity variation.
2Measurement precision
If multiple source-detection distances are used to improve signal extraction, then tissue element signals can be isolated from interference, but the device complexity increases
Solution Approach 1:
The patent introduces spatial dimension (source-detection distance) as an additional parameter for signal differentiation. Instead of using more complex spectral analysis alone, the system adds the spatial dimension by detecting light intensity at multiple distances, creating a two-dimensional detection space (wavelength × distance) that simplifies the overall system architecture.
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 isolating tissue element signals from interference, allowing for precise concentration measurement of tissue elements like blood glucose and white blood cells.
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
Implementation Method 2
the absorption and the scattering have a same influence on a diffusely-scattered light intensity and opposite directions
Implementation Method 3
A near-infrared spectroscopy detection method has characteristics of rapidness, non-invasiveness, and multidimensional information
Implementation Method 4
the absorption and the scattering have a same influence on a diffusely-scattered light intensity and opposite directions
Data Source
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AI summary
The present disclosure provides 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, 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; and determining a first light intensity measurement value and/or a first light intensity reference value from the first light intensity values corresponding to the predetermined wavelength according to an absolute value of a light intensity variation caused by a change in a concentration of a tissue element to be detected, determining a source-detection distance corresponding to the first light intensity measurement value as a measurement distance, and determining a source-detection distance corresponding to the first light intensity reference value as a reference distance, wherein the first light intensity measurement value corresponds to a greatest absolute value of the light intensity variation caused by the change in the concentration of the tissue element to be detected, and the first light intensity reference value corresponds to a smallest absolute value of the first light intensity variation caused by the change in the concentration of the tissue element to be detected.