Spectral Sensor Mosaic Filtering for Non-Invasive Glucose Accuracy

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Solution Overview

Problem

Existing non-invasive blood glucose testing methods using near-infrared spectroscopy face challenges due to strong absorption by human tissues, leading to interference that reduces the accuracy of blood glucose concentration calculations.

Innovation Solution

A data processing method and system that utilizes a periodic pixel-level light filtering structure on a spectral sensor to modulate testing light, forming a mosaic image to remove non-analyte interference and enhance spectral data accuracy, employing fluorescence spectroscopy for non-invasive testing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If near-infrared spectroscopy is used for non-invasive blood glucose testing, then non-invasive testing capability is achieved, but measurement precision deteriorates due to strong absorption by human tissues and interference information in the testing spectrum

Engineering Contradiction:

Improvenon-invasive testing capabilityVSAvoidblood glucose concentration measurement accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent divides the spectral detection into multiple wavelength segments using a tunable filter that can be adjusted to different wavelength ranges. The spectral sensor is segmented to detect specific wavelength bands (e.g., 1350-1650nm and 1550-1850nm) where glucose absorption characteristics are prominent, separating the glucose-specific spectral information from the interfering background signals of water, protein, and other tissues.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by selecting specific wavelength regions where glucose has distinctive absorption characteristics. The tunable filter is adjusted to focus on local spectral regions (narrow wavelength bands) that contain glucose-specific information, rather than analyzing the entire near-infrared spectrum, thereby improving measurement precision by concentrating on the most informative local spectral features.

Inventive Principle:

Principle #3Local quality

2Device complexity

If traditional spectral filtering methods are used, then device complexity is reduced, but measurement precision deteriorates due to inability to effectively remove non-analyte interference components

Engineering Contradiction:

Improvespectral filtering system simplicityVSAvoidspectral data accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent employs a dynamic tunable filter that can be electronically adjusted to different wavelength positions and bandwidths, replacing static traditional filters. This dynamic filtering capability allows the system to adaptively select optimal wavelength regions for glucose detection and dynamically adjust the spectral passband to track and eliminate interfering signals from different tissue components, thereby improving measurement precision without significantly increasing device complexity.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes the filtering parameters (wavelength position and bandwidth) dynamically based on the detection requirements. The tunable filter's transmission characteristics are adjusted by changing its operational parameters, allowing the system to optimize the spectral window for glucose detection at each measurement instance, effectively removing non-analyte interference while maintaining relatively simple device architecture.

Inventive Principle:

Principle #35Parameter changes

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 the accuracy of blood glucose concentration measurements by effectively removing interference components and enabling real-time, non-invasive testing without the need for electrochemical reactions.

Implementation Method 1

generating an image from the obtained reflection signal or excitation signal by a periodic pixel-level light filtering structure provided on a sensor surface

Methodology Applied

Scientific EffectLight filtering: Filter (optical)

Implementation Method 2

obtaining a reflection signal or an excitation signal generated when an imaging area is irradiated by light

Methodology Applied

Scientific EffectReflection: Reflection

Implementation Method 3

employing fluorescence spectroscopy for non-invasive testing

Methodology Applied

Scientific EffectFluorescence: Fluorescence

Data Source

PatentUS20260022967A1Data processing method and system for spectral sensor, medium, and device

Publication Date: 2026.01.22 SENSURA PTE LTD

AI summary

The present invention provides a data processing method and system for a spectral sensor, a medium, and a device. The method includes: data obtaining: obtaining a reflection signal or an excitation signal generated when an imaging area is irradiated by light; light filtering: generating a mosaic image from the obtained reflection signal or excitation signal by a periodic pixel-level light filtering structure provided on a sensor surface; and processing: based on a testing point candidate area and a reference point candidate area pre-divided in the imaging area, respectively selecting a testing point and a reference point from corresponding positions in the mosaic image, and respectively calculating spectral data of the testing point and spectral data of the reference point.