Non-Invasive Glucose Sensor Scattering Correction
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Solution Overview
Problem
Existing methods for non-invasive measurement of blood glucose levels in turbid media, such as skin, face challenges in accurately estimating analyte concentrations due to changes in the optical path length caused by variations in the scattering coefficient.
Innovation Solution
An apparatus and method that utilize an optical sensor to emit light, process the ratio of absorption to scattering coefficients, and employ scattering correction models to estimate analyte concentrations by generating and selecting candidate models that minimize the difference between estimated and actual concentrations, using techniques like PCA, ICA, and SVD to correct for nonlinear changes in the scattering coefficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If non-invasive optical measurement is used to measure blood glucose levels, then pain and infection risk are reduced, but measurement accuracy deteriorates due to changes in optical path length caused by scattering coefficient variations
Solution Approach 1:
The patent transforms the absorption spectrum by eliminating the scattering correction spectrum to convert the absorption coefficient ratio into a form independent of scattering coefficient changes. This parameter transformation resolves the contradiction by making the measurement accuracy insensitive to optical path length variations while maintaining non-invasive measurement benefits
Solution Approach 2:
The patent introduces a scattering correction spectrum as an intermediary element that mediates between the raw absorption spectrum and the final concentration estimation. By eliminating this correction spectrum, the system removes the harmful effect of scattering variations on measurement accuracy
2Device complexity
If traditional absorption spectrum methods are used without scattering correction, then device complexity is reduced, but measurement accuracy deteriorates due to nonlinear changes in scattering coefficient
Solution Approach 1:
The patent extracts and removes the scattering correction spectrum from the first absorption spectrum to obtain the second absorption spectrum. This extraction process eliminates the harmful scattering effects while maintaining a relatively simple processing approach, resolving the contradiction between complexity and accuracy
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
This approach improves the accuracy of analyte concentration estimation, reducing errors and enhancing the reliability of non-invasive glucose monitoring, as demonstrated by a significant reduction in maximum absolute relative difference (MARD) compared to traditional methods.
Implementation Method 1
an optical sensor configured to emit light toward an object and receive light reflected from the object
Implementation Method 2
obtain a ratio of an absorption coefficient to a scattering coefficient based on the received light
Implementation Method 3
obtain a second absorption spectrum by eliminating a scattering correction spectrum from the first absorption spectrum, the scattering correction spectrum corresponding to a nonlinear change in the scattering coefficient according to a wavelength of the emitted light
Data Source
AI summary
An apparatus for estimating a concentration of an analyte includes an optical sensor configured to emit light toward an object and receive light reflected from the object; and a processor configured to obtain a ratio of an absorption coefficient to a scattering coefficient based on the received light, obtain a first absorption spectrum of the object based on the obtained ratio, obtain a second absorption spectrum by eliminating a scattering correction spectrum from the first absorption spectrum, the scattering correction spectrum corresponding to a nonlinear change in the scattering coefficient according to a wavelength of the emitted light, and estimate a concentration of an analyte based on the second absorption spectrum.


