Blood Oxygen Saturation Measurement Using Segmented Pulse Wave Analysis
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Solution Overview
Problem
Current methods for measuring blood oxygen saturation using pulse oximeters face challenges in accuracy under low perfusion conditions due to low signal-to-noise ratios and distortion of wave peaks and valleys, leading to errors in determining blood oxygen saturation.
Innovation Solution
The method involves acquiring and converting light intensities of different wavelengths transmitted through tissues into signals, defining intervals on these signals, performing area integrals, and calculating blood oxygen saturation using a specific formula, which reduces noise influence and improves accuracy by setting different confidence intervals based on noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pulse oximetry methods are used to measure blood oxygen saturation, then the measurement can be obtained, but the accuracy deteriorates under low perfusion conditions due to low signal-to-noise ratios and wave distortion
Solution Approach 1:
The patent segments the pulse wave into multiple intervals (first interval, second interval, third interval) with different confidence weights. By dividing the waveform analysis into segments with varying reliability assessments, the method can selectively emphasize high-confidence regions while suppressing low-confidence regions, thereby improving overall measurement accuracy under low perfusion conditions
Solution Approach 2:
The patent changes the parameter of confidence weighting assigned to different waveform intervals. By dynamically adjusting the confidence values for each interval based on noise interference levels, the method optimizes the contribution of each segment to the final blood oxygen saturation calculation, resolving the contradiction between measurement precision and reliability
2Measurement precision
If area integral method with confidence intervals is applied, then measurement accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent divides the pulse wave into discrete intervals and applies area integral calculations to each segment separately. This segmentation approach, combined with assigning confidence weights, manages calculation complexity by breaking down the complex waveform analysis into manageable segments that can be processed systematically
Solution Approach 2:
The patent introduces confidence interval parameters to weight different waveform segments. By changing the parameter of confidence weighting, the method improves measurement precision while maintaining manageable calculation complexity through a systematic parameter-based approach rather than requiring complex algorithmic modifications
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 the accuracy of blood oxygen saturation measurement under low perfusion conditions by eliminating noise and improving the reliability of calculations, as demonstrated by the comparison with conventional methods.
Implementation Method 1
a light source to emit lights of different wavelengths through the tissue
Implementation Method 2
a photosensitive element to convert transmitted light signals into electrical signals
Implementation Method 3
The embodiments disclosed herein provide a method and apparatus for measuring blood oxygen saturation by using spectrophotometry
Data Source
AI summary
A method and apparatus are disclosed for measuring blood oxygen saturation by using spectrophotometry to improve the accuracy of the measurement under a condition of low perfusion.