Bio-information Estimation Using Differential Light Path Absorbance
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Solution Overview
Problem
Current methods for estimating antioxidant levels in the body lack precision and require calibration of light sources, which complicates the process and reduces user convenience.
Innovation Solution
An apparatus and method utilizing a sensor with multiple light paths and detectors to measure light signals, where the processor transforms and combines the signals into logarithmic domains to estimate antioxidant levels without the need for prior light source calibration, using a smart device like a smart watch to detect antioxidant levels based on the difference in absorbance between signals from different paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light source calibration is performed to improve measurement precision, then antioxidant level estimation accuracy improves, but device complexity and ease of operation deteriorate due to calibration requirements
Solution Approach 1:
The system performs self-calibration by using the relationship between light paths of different lengths. The processor calculates antioxidant levels by comparing absorbance differences between first and second light paths, where the calibration factors are derived from the known geometric relationship between detectors and light source, eliminating the need for external calibration procedures
Solution Approach 2:
The system changes the measurement parameter from absolute absorbance to absorbance difference between two light paths. By measuring the difference in absorbance between a first light path (longer distance) and a second light path (shorter distance), the system eliminates the need for light source intensity calibration while maintaining measurement accuracy
2Measurement precision
If light source calibration is performed to improve measurement precision, then antioxidant level estimation accuracy improves, but device complexity increases due to calibration procedures
Solution Approach 1:
The system performs self-calibration by using the relationship between light paths of different lengths. The processor calculates antioxidant levels by comparing absorbance differences between first and second light paths, where the calibration factors are derived from the known geometric relationship between detectors and light source, eliminating the need for external calibration procedures
Solution Approach 2:
The system extracts and eliminates the calibration requirement by using differential measurement. By taking the difference between absorbance measurements from two light paths with known distance relationships, the system removes the need for light source intensity calibration from the measurement process
3Device complexity
If single light path measurement is used to simplify device structure, then device complexity decreases, but measurement precision deteriorates due to distance deviations
Solution Approach 1:
The system applies different measurement conditions to different parts of the measurement process. The first detector measures along a first light path (longer distance) while the second detector measures along a second light path (shorter distance), with each detector optimized for its specific measurement role to compensate for distance-related variations
Solution Approach 2:
The system adds a spatial dimension to the measurement by introducing a second light path with a different distance from the light source. This creates a differential measurement system where the difference in absorbance between two spatial configurations eliminates the need for precise distance calibration
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 antioxidant level estimation by canceling out distance deviations and eliminating the need for light source calibration, enhancing user convenience and accuracy.
Implementation Method 1
at least one first detector configured to detect the at least one first light signal with the first light path that is scattered or reflected by the object
Implementation Method 2
at least one first detector configured to detect the at least one first light signal with the first light path that is scattered or reflected by the object
Implementation Method 3
obtain a first absorbance based on the at least one first light signal, obtain a second absorbance based on the at least one second light signal
Data Source
AI summary
An apparatus for estimating bio-information, includes: a sensor configured to detect at least one first light signal and at least one second light signal, each of the at least one first light signal having a first light path from an object and each of the at least one second light signal having a second light path from the object that is different from the first light path; and a processor configured to: obtain a first absorbance based on the at least one first light signal, obtain a second absorbance based on the at least one second light signal, and estimate bio-information based on a difference between the first absorbance and the second absorbance.