Multi-Wavelength Glucose Estimation for Moisture Separation
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Solution Overview
Problem
Existing glucose concentration estimation devices using near-infrared light face challenges in accurately distinguishing glucose concentration from moisture concentration due to strong absorption by moisture, leading to high manufacturing costs and the need for invasive calibration.
Innovation Solution
A glucose concentration estimating device utilizing multiple near-infrared light sources emitting at different wavelengths (1375-1395 nm, 1575-1595 nm, 1835-1855 nm, and 2175-2255 nm) to estimate glucose concentration based on the intensity of reflected light, combined with a learning model to account for moisture and other components, allowing for accurate estimation without invasive calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mid-infrared light with wavelength of 9.26 μm is used for glucose detection, then detection accuracy is improved due to high absorption sensitivity of glucose, but manufacturing cost increases due to expensive YAG light source and optical system materials
Solution Approach 1:
The patent changes the wavelength parameter from mid-infrared (9.26 μm) to near-infrared range (1300-2500 nm), specifically selecting wavelengths where glucose has absorption characteristics. This parameter change enables the use of cheaper laser diodes and standard optical materials while maintaining detection capability through multiple wavelength measurements
Solution Approach 2:
The patent divides the detection process into multiple wavelength measurements (at least four different wavelengths in the near-infrared range). By segmenting the measurement into multiple spectral points, the system can distinguish glucose absorption from moisture and other interference, achieving accurate detection without requiring expensive single-wavelength mid-infrared sources
2Ease of manufacture
If near-infrared light is used to reduce device cost, then manufacturing cost decreases, but detection accuracy deteriorates due to strong absorption by moisture in the human body
Solution Approach 1:
The patent segments the spectral measurement into at least four different near-infrared wavelengths. By measuring absorption at multiple wavelengths, the system can differentiate between glucose absorption patterns and moisture absorption patterns, as they have different spectral characteristics across the wavelength range
Solution Approach 2:
The patent uses a composite approach by combining measurements from multiple wavelengths to create a comprehensive detection signal. The control unit processes the composite information from all wavelength measurements to calculate glucose concentration, effectively separating glucose signal from moisture interference through multi-parameter 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
The device achieves accurate glucose concentration estimation at a lower cost by using near-infrared light with specific wavelengths and a learning model, effectively distinguishing glucose from moisture and other components, thus improving detection accuracy.
Implementation Method 1
a first light source for irradiating a living body with a first light which includes any one wavelength in a wavelength range of 1375 nm to 1395 nm, a second light source for irradiating the living body with a second light which includes any one wavelength in a wavelength range of 1575 nm to 1595 nm
Implementation Method 2
a light receiving element for receiving reflected light that returns from the living body upon irradiating the living body with the first light, the second light and the third light
Data Source
AI summary
A glucose concentration estimating device includes a first light source, a second light source, a third light source, a light receiving element and an estimating unit. The first light source irradiates a living body with first light which includes one wavelength in a wavelength range of 1375-1395 nm. The second light source irradiates the living body with second light which includes one wavelength in a wavelength range of 1575-1595 nm. The third light source irradiates the living body with third light which includes one wavelength in a wavelength range of 1835-1855 nm. The light receiving element receives reflected light returning from the living body upon irradiating the living body with the first to third light. The estimating unit estimates a glucose concentration based on an output of the light receiving element.