Biomarker Value Calculation Using Calibration Parameters
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Solution Overview
Problem
Existing biomarker estimation methods using spectral data are affected by user-specific characteristics and environmental factors, leading to inaccuracies in biomarker value calculations.
Innovation Solution
A computer-implemented method that receives primary spectral measurements and secondary measurements to calculate biomarker values using a biomarker algorithm, which incorporates calibration parameters to adjust for external factors such as skin pigmentation and temperature, improving accuracy by using a combination of primary and secondary detectors and light sources across various wavelength ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectral data is collected for biomarker estimation, then biomarker values can be calculated, but accuracy is reduced due to user characteristics and environmental factors
Solution Approach 1:
The patent introduces a calibration parameter as an intermediary element that mediates between the spectral measurement and the biomarker calculation. This calibration parameter, derived from secondary measurements, compensates for the harmful effects of user characteristics (skin pigmentation, thickness) and environmental factors (temperature), thereby improving measurement accuracy without requiring direct modification of the primary spectral data collection process.
Solution Approach 2:
The patent changes the parameters used in biomarker calculation by incorporating calibration parameters that adjust for external factors. Instead of using only the primary spectral measurement parameters, the system modifies the calculation parameters by integrating secondary measurements that capture user-specific and environmental variations, thereby adapting the calculation to compensate for harmful factors.
2Measurement precision
If only primary spectral measurements are used, then the calculation process is simple, but biomarker estimation accuracy is reduced
Solution Approach 1:
The patent implements multi-functionality by using a single measurement system that performs both primary spectral measurements for biomarker detection and secondary measurements for calibration. The measurement device serves multiple purposes: it collects data for both the biomarker calculation and the calibration parameter derivation, thereby improving accuracy without proportionally increasing device complexity.
Solution Approach 2:
The system performs preliminary calibration measurements to establish user-specific parameters before conducting the primary biomarker measurement. By obtaining secondary measurements and calculating calibration parameters in advance, the system prepares compensatory data that will be used to adjust the primary measurement results, thereby improving accuracy while maintaining a streamlined measurement process.
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
The method enhances the accuracy of biomarker value calculations by accounting for user-specific characteristics and environmental factors, providing more precise estimates of biomarkers like oxygen saturation and glucose concentration.
Implementation Method 1
receiving a primary spectral measurement from a primary detector
Implementation Method 2
receiving a secondary measurement from a secondary detector
Implementation Method 3
calculating a value of the biomarker using a biomarker algorithm, which takes an input from the primary spectral measurement and a calibration parameter from the secondary measurement
Data Source
AI summary
A computer-implemented method to improve the accuracy of a calculation of a biomarker value from a spectral measurement. The computer-implemented method comprises receiving a primary spectral measurement from a primary detector, receiving, a secondary measurement from a secondary detector, and calculating a value of the biomarker using a biomarker algorithm. The biomarker algorithm takes an input from the primary spectral measurement and a calibration parameter from the secondary measurement.