Self-Reference Point Blood Component Measurement Using Linear Image Sensor
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Solution Overview
Problem
Current non-invasive blood component measurement techniques using light face challenges in setting a reliable reference point due to individual skin characteristics, leading to reduced precision and increased calibration complexity, making it difficult to accurately measure components like blood sugar without invasive methods.
Innovation Solution
A method that sets a self-reference point on the skin using a one-dimensional linear image sensor to differentiate between light reflections from the epidermis and deeper skin layers, allowing for accurate calculation of blood component concentration by analyzing light intensities at specific points, thereby reducing noise and calibration needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a separate reference value is used for non-invasive blood component measurement, then the measurement can be performed, but the precision and accuracy are reduced due to individual skin characteristics and environmental influences
Solution Approach 1:
The patent applies self-service by enabling the measurement device to automatically identify and set its own reference point on the subject's skin without requiring external calibration or separate reference values. The device autonomously adapts to individual skin characteristics by detecting the optimal reference location, thereby eliminating the need for manual calibration while maintaining high measurement precision and reliability.
2Measurement precision
If traditional non-invasive measurement methods are used without self-reference point, then the measurement process is simpler, but the accuracy is reduced due to signal displacement from skin characteristics
Solution Approach 1:
The patent applies preliminary action by automatically performing reference point identification and setting before the actual blood component measurement takes place. The device pre-adapts to the subject's skin characteristics by locating the optimal reference point, which then serves as the basis for accurate subsequent measurements, eliminating the need for complex real-time calibration during measurement.
Solution Approach 2:
The patent replaces manual calibration mechanisms with an automated optical detection system that uses image sensors to identify reference points based on skin surface characteristics. This substitution of mechanical/manual calibration with automated optical detection simplifies the device operation while improving measurement accuracy by objectively identifying reference points based on actual skin properties.
3Measurement precision
If multiple light sources are used to compensate for skin reflection and noise, then measurement accuracy improves, but the device size and complexity increase
Solution Approach 1:
The patent applies taking out by extracting and eliminating the need for multiple light sources through the self-reference point methodology. By establishing a reference point that inherently accounts for skin reflection and individual characteristics, the system removes the requirement for additional light sources that would otherwise be needed to compensate for these factors, thereby reducing device size and complexity while maintaining measurement 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 enhances measurement precision and accuracy, reduces the number of necessary light sources, and enables miniaturization of devices for wearable health monitoring, improving patient comfort and reducing testing time.
Implementation Method 1
Light incident to the skin proceeds through processes such as reflection, refraction, absorption, and scattering from various body components such as an epidermis, a corium, and subcutaneous fat, and the like. Some of the light is re-reflected to the outside of a body only through the epidermis.
Implementation Method 2
Light incident to the skin proceeds through processes such as reflection, refraction, absorption, and scattering from various body components such as an epidermis, a corium, and subcutaneous fat, and the like.
Implementation Method 3
Light incident to the skin proceeds through processes such as reflection, refraction, absorption, and scattering from various body components such as an epidermis, a corium, and subcutaneous fat, and the like.
Implementation Method 4
Light incident to the skin proceeds through processes such as reflection, refraction, absorption, and scattering from various body components such as an epidermis, a corium, and subcutaneous fat, and the like.
Data Source
AI summary
This application relates to a self-reference point setting type blood component measuring method and apparatus using light. In one aspect, the method includes applying light to a skin of a subject to be measured and setting a reference point on a surface of the skin adjacent to a point at which the light is applied. The method further includes calculating a concentration of a blood component from a light intensity measured at the reference point and a light intensity measured at another point. According to some embodiments, the accuracy and precision of measurement are increased in measuring blood in a non-invasive manner.