Adaptive Optical Sensing for Accurate Skin Analyte Estimation
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Solution Overview
Problem
Existing methods for non-invasively estimating antioxidant levels in the body are inadequate, particularly in environments with varying skin reflectivity, leading to inaccurate measurements and inefficiencies.
Innovation Solution
An apparatus and method that dynamically adjust sensor operating conditions, including light exposure time and intensity, based on initial and optimal thresholds, to normalize spectra and estimate components like skin carotenoids and other analytes using a processor and sensors, with feedback mechanisms for pressure and force application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed sensor operating conditions are used for non-invasive measurement, then device complexity is reduced, but measurement precision deteriorates due to varying skin reflectivity
Solution Approach 1:
The patent implements dynamic adjustment of sensor operating conditions (exposure time, light source intensity) based on real-time feedback from initial measurements. The processor automatically modifies operating parameters to optimize the received light amount, transforming a static measurement system into an adaptive one that maintains high precision across varying skin reflectivity conditions without requiring complex manual calibration procedures
Solution Approach 2:
The system changes physical parameters of the sensor operation, specifically exposure time and light source current intensity, to adapt to different skin reflectivity conditions. By adjusting these parameters dynamically based on initial measurements and feedback loops, the system optimizes the amount of received light while maintaining simple device architecture
2Measurement precision
If dynamic adjustment of sensor operating conditions is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The measurement system performs self-optimization through automatic adjustment of operating conditions. The processor autonomously determines optimal exposure time and light intensity based on initial measurements and feedback, eliminating the need for external calibration equipment or complex control mechanisms. The system serves itself by automatically adapting to varying skin reflectivity while maintaining measurement precision
Solution Approach 2:
The system implements feedback mechanisms where initial measurements inform subsequent adjustments of operating conditions. The processor uses the received light amount from initial measurements to determine whether to increase or decrease exposure time or light intensity for optimal measurements, creating a closed-loop control system that achieves high precision without excessive complexity
3Adaptability or versatility
If initial operating conditions are set for standard sample with predetermined reflectivity, then adaptability to varying skin reflectivity is improved, but measurement time increases due to dynamic adjustment
Solution Approach 1:
The system performs preliminary measurements at initial operating conditions to characterize the skin's reflectivity properties before conducting the actual optimal measurement. This preliminary action allows the system to pre-determine the necessary adjustments to exposure time or light intensity, enabling rapid adaptation to individual skin characteristics without requiring extensive calibration time
Solution Approach 2:
The measurement process is divided into periodic stages: initial measurement phase, processing phase to determine optimal conditions, and optimal measurement phase. This periodic structure allows the system to efficiently alternate between gathering raw data and performing optimized measurements, minimizing total measurement time while maintaining adaptability to varying skin reflectivity
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
Enhances the accuracy and reliability of antioxidant level estimation by adapting to varying skin reflectivity, reducing noise and errors, and providing precise component analysis.
Implementation Method 1
a sensor (110) configured to measure a spectrum for estimating a component of an analyte
Implementation Method 2
normalize the spectrum by multiplying an amount of reflected light of the sample spectrum by a ratio of an exposure time among the optimal operating conditions and an exposure time among the initial operating conditions
Data Source
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AI summary
An apparatus for estimating a component of an analyte may include a sensor including a light source configured to emit light to the analyte, and a detector configured to measure a spectrum of light reflected from the analyte; and a processor configured to: based on an initial amount of received light being obtained from the analyte by operating the sensor under initial operating conditions, determine optimal operating conditions based on the initial amount of received light and the initial operating conditions; and based on a spectrum being measured from the analyte by operating the sensor under the optimal operating conditions, estimate the component of the analyte based on the spectrum.