Multi-Wavelength Tissue Detection With Radial Light Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing non-invasive optical methods for detecting tissue elements suffer from low signal-to-noise ratio, varying detection conditions, and significant background noise, leading to low detection accuracy due to weak diffusely-scattered light signals and interference from water, fat, and protein in living bodies.
Innovation Solution
A non-invasive detection method using incident light of multiple predetermined wavelengths, obtaining light intensity values from multiple photosensitive surfaces at varying distances, and employing differential operations to determine tissue element concentration, while stabilizing detection conditions and eliminating common mode interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical methods are used to detect tissue elements, then rapid and non-invasive detection is achieved, but detection accuracy is low due to weak diffusely-scattered light signals
Solution Approach 1:
The patent transitions from single-point detection to ring-shaped photosensitive surface detection, adding a spatial dimension (radial distance from incident light center) to the detection geometry. This dimensional change enables collection of diffusely-scattered light from multiple paths simultaneously, increasing signal strength while maintaining non-invasive optical detection
Solution Approach 2:
The patent merges multiple detection signals from different radial distances on the ring-shaped photosensitive surface into a composite detection result. By combining information from multiple spatial locations, the system achieves both non-invasive detection and improved accuracy through signal integration
2Device complexity
If single-point detection is used, then device structure is simple, but light receiving efficiency is low resulting in low signal-to-noise ratio
Solution Approach 1:
The detection module evolves from a point detector to a ring-shaped photosensitive surface with radial dimension. This geometric transformation increases the collecting area for diffusely-scattered light without proportionally increasing device complexity, as the ring structure naturally captures light from multiple incident angles and paths
Solution Approach 2:
The ring-shaped photosensitive surface is divided into multiple detection regions at different radial distances from the incident light center. Each segment detects light with different path lengths and scattering characteristics, allowing the system to segment the detection function to improve signal-to-noise ratio while managing structural complexity
3Ease of operation
If detection is performed on soft tissue, then non-invasive detection is enabled, but detection conditions vary greatly causing low detection accuracy
Solution Approach 1:
The patent introduces radial distance as an additional detection dimension, measuring light intensity at multiple distances from the incident light center. This dimensional approach enables the system to detect and compensate for variations in detection conditions (such as contact pressure and tissue depth) by analyzing how light intensity changes with radial distance, thereby maintaining accuracy despite soft tissue variability
Solution Approach 2:
The multi-radial-distance detection provides feedback information about detection condition variations. By comparing light intensity patterns across different radial positions, the system can identify and compensate for changes in contact pressure, tissue properties, or alignment, ensuring consistent detection accuracy while maintaining ease of non-invasive operation
4Adaptability or versatility
If conventional detection is used on living bodies, then physiological monitoring is achieved, but background noise from water, fat, and protein is large
Solution Approach 1:
The patent adds radial distance as a discrimination dimension to separate tissue element signals from background noise. Different substances (water, fat, protein, and target tissue elements) have different optical absorption and scattering characteristics that vary with light path length. By measuring at multiple radial distances, the system creates a spectral-fingerprint pattern that enables differentiation between background substances and target analytes, reducing noise while maintaining physiological monitoring capability
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 light receiving efficiency, stabilizes detection conditions, and enhances detection accuracy by eliminating common mode interference, resulting in improved clinical accuracy for tissue element concentration determination.
Implementation Method 1
an optical detector that receives the diffusely-scattered light emitted through the detected tissue itself to generate a detection signal
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
A non-invasive detection method, device, system and wearable apparatus for tissue element are provided. The method includes: emitting incident light of multiple predetermined wavelengths to a detected site, respectively; for each predetermined wavelength, obtaining light intensity values emitted from a surface of the detected site based on multiple photosensitive surfaces, wherein multiple photosensitive surfaces are at predetermined distances from a center of the incident light; and determining a concentration of the tissue element to be detected according to light intensity values in multiple predetermined wavelengths. Since the embodiments of the present disclosure may receive a wide range of light intensity values, the light receiving efficiency is improved, and thereby the detection accuracy of the tissue element to be detected is further improved. Moreover, since different light intensity values may be differential operated, common mode information may be eliminated, the detection accuracy of the tissue element to be detected is improved.