Oxygen Saturation Estimation Using Multi-Wavelength Signal Differences
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Solution Overview
Problem
Current oxygen saturation estimation methods using optical signals of multiple wavelengths face challenges in accurately determining suitable sections for measurement, particularly due to variations in force application and wavelength differences, which can lead to inaccurate readings and the need for repeated measurements.
Innovation Solution
An apparatus and method that utilize a sensor to measure optical signals of multiple wavelengths and a processor to determine a suitable section for estimation based on differences between these signals and force thresholds, ensuring accurate oxygen saturation calculation by acquiring feature values at specific points or statistical values within predetermined threshold ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical signals of multiple wavelengths are used for oxygen saturation estimation, then measurement precision is improved, but device complexity increases due to the need to determine suitable sections based on differences between signals and force thresholds
Solution Approach 1:
The patent divides the optical signal measurement process into multiple wavelength channels (first wavelength, second wavelength, third wavelength) and processes each signal separately before integrating them. The processor determines suitable sections by comparing differences between individual wavelength signals, segmenting the complex multi-wavelength data into manageable comparisons that simplify the overall processing while maintaining precision.
Solution Approach 2:
The patent changes the parameter space by introducing force threshold criteria and wavelength difference thresholds as new dimensions for signal selection. Instead of simply using raw optical signal values, the system transforms the data by calculating differences between wavelengths and comparing them against predetermined thresholds, which simplifies the selection of suitable measurement sections while improving estimation accuracy.
2Reliability
If multiple wavelength optical signals are measured to improve estimation accuracy, then reliability is improved, but measurement time increases due to the need for repeated measurements when force thresholds are not met
Solution Approach 1:
The patent performs preliminary evaluation of the optical signals by calculating differences between wavelength signals and comparing them against predetermined thresholds before finalizing the oxygen saturation measurement. This preliminary action identifies suitable sections in advance, allowing the system to quickly determine when reliable measurements are available and reduce unnecessary repeated measurements, thereby saving time while maintaining reliability.
Solution Approach 2:
The system uses feedback from the force sensor and optical signal comparisons to dynamically adjust the measurement process. When the difference between wavelength signals exceeds the threshold or force thresholds are not met, the system requests additional measurements or adjusts the measurement criteria, creating a feedback loop that ensures reliable readings without unnecessary repeated measurements, thus optimizing measurement time.
3Measurement precision
If force sensor measurement is integrated to determine suitable sections, then measurement precision is improved, but device complexity increases due to multi-parameter evaluation requirements
Solution Approach 1:
The patent merges the force sensor measurement with the optical signal processing by combining the force threshold evaluation with the wavelength signal difference comparisons. The processor integrates multiple parameters (force values, optical signal differences) into a unified decision-making process for determining suitable sections, which simplifies the overall system architecture compared to separate independent evaluation systems while maintaining high precision.
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 enables precise estimation of oxygen saturation by identifying optimal measurement sections and force ranges, reducing the need for repeated measurements and improving accuracy and stability of readings.
Implementation Method 1
a sensor configured to measure optical signals of multiple wavelengths based on emitting multi-wavelength light onto an object
Data Source
AI summary
An apparatus for estimating oxygen saturation is provided. The apparatus may include a sensor configured to measure optical signals of multiple wavelengths based on emitting multi-wavelength light onto an object; and a processor configured to: determine a section of the optical signals for estimating the oxygen saturation based on a difference between at least two optical signals among the optical signals of the multiple wavelengths; and estimate the oxygen saturation based on the optical signals of the multiple wavelengths in the section.