Multi-Wavelength PPG Blood Glucose Meter for Noninvasive Accuracy
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Solution Overview
Problem
Current non-invasive blood glucose meters suffer from measurement errors due to individual differences, technical disparities, and environmental factors, leading to lower accuracy, especially at extreme glucose levels, and require frequent calibration.
Innovation Solution
A blood glucose meter utilizing multiple light sources with different wavelengths to generate PPG responses, employing feature extraction and regression modeling to enhance accuracy by analyzing these responses and calculating feature ratio values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive optical measurement is used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent segments the measurement process by using multiple light sources with different wavelengths (first wavelength, second wavelength, and optionally third wavelength) to independently measure different physiological parameters. Each wavelength targets specific tissue components, allowing the system to separate and independently analyze various optical signals before integrating them for comprehensive glucose assessment.
Solution Approach 2:
The patent changes measurement parameters by employing multiple wavelengths of light and calculating multiple PPG response parameters (first PPG response, second PPG response, and optionally third PPG response). The processing unit performs feature extraction on each response and calculates feature ratio values through algorithms, transforming raw optical signals into multiple derived parameters that are then applied to regression models to improve measurement accuracy.
2Device complexity
If single wavelength measurement is used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent segments the optical measurement system into multiple independent light sources, each emitting at a specific wavelength. This segmentation allows each light source to target different tissue chromophores and physiological processes, providing multiple independent measurement channels that can be processed separately and combined to achieve higher precision.
Solution Approach 2:
The patent adds the wavelength dimension to the measurement system by incorporating light sources with different wavelengths. This dimensional expansion transforms a single-parameter measurement into a multi-parameter measurement system, where each wavelength provides additional information about tissue composition and physiological state, thereby improving precision without merely increasing complexity.
3Measurement precision
If invasive blood sampling is used, then measurement precision is improved, but object-affected harmful factors worsen
Solution Approach 1:
The patent replaces the mechanical invasive sampling system with an optical measurement system. Instead of physically piercing the skin to obtain blood samples, the system uses light sources and sensors to non-invasively measure optical properties of tissue that correlate with glucose levels, thereby eliminating mechanical harm while maintaining measurement capability.
Solution Approach 2:
The patent introduces light as an intermediary medium to indirectly measure glucose levels. Rather than directly sampling blood, the optical system measures how light interacts with tissue (absorption, scattering, PPG responses), using these optical intermediaries as proxies for glucose concentration, thus avoiding direct invasive contact.
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 measurements by using multiple light sources and advanced algorithms to process PPG signals, reducing the need for frequent calibration and enhancing precision across varying conditions.
Implementation Method 1
a first light source, having a first wavelength, configured to: emit a first light energy towards human skin
Implementation Method 2
a second light source, having a second wavelength, configured to: be positioned on the same side as the first light source and emit a second light energy towards human skin
Implementation Method 3
a light sensor, configured to: be positioned on the opposite side of the first light source to convert the first light energy and the second light energy that have passed through human skin into a first electrical signal and a second electrical signal
Implementation Method 4
a PPG circuit, configured to: drive the first light source and the second light source, and generate a first PPG response and a second PPG response based on the first electrical signal and the second electrical signal
Data Source
AI summary
A blood glucose meter is provided. The blood glucose meter mainly includes a first light source, a second light source, a light sensor, a PPG circuit and a processing unit. The first light source and the second light source respectively emit a first light energy and a second light energy to human skin. The light sensor is used to convert the first light energy and the second light energy reflected off human skin or passing through human skin into a first electrical signal and a second electrical signal. The PPG circuit is configured to generate a first PPG response and a second PPG response according to the first electrical signal and the second electrical signal. A processing unit is configured to execute the following steps: performing feature extraction according to the first PPG response and the second PPG response to obtain a first set of feature values and a second set of feature values; performing an algorithm to obtain a first group of feature ratio values according to the first set of feature values and the second set of feature values; and applying the first group of feature ratio values to a regression model to obtain a blood glucose value.


