Blood Oxygen Measurement Area Integration Low Perfusion
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Solution Overview
Problem
Conventional methods for measuring blood oxygen saturation under low perfusion conditions face challenges due to poor signal quality and low signal-to-noise ratio, leading to inaccurate measurements.
Innovation Solution
The method employs area integration of pulse waveforms instead of peak value calculation, effectively eliminating noise by integrating over time, thereby improving measurement accuracy without increasing production costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional peak value calculation method is used for measuring blood oxygen saturation, then the measurement process is simple and fast, but the measurement accuracy deteriorates under low perfusion conditions due to poor signal quality and low signal-to-noise ratio
Solution Approach 1:
The patent changes the parameter of signal processing from peak value calculation to area integration calculation. This parameter change allows the system to accumulate signal information over time, improving the signal-to-noise ratio and measurement accuracy under low perfusion conditions without requiring additional hardware complexity
Solution Approach 2:
The patent applies preliminary filtering and preprocessing to the pulse wave signal before performing area integration. This preliminary action removes obvious noise and artifacts from the signal, ensuring that the subsequent integration process operates on cleaned data, thereby improving measurement reliability
2Measurement precision
If area integration method is used to improve measurement accuracy under low perfusion, then the signal-to-noise ratio is improved, but the calculation complexity increases
Solution Approach 1:
The patent transforms the measurement parameter from instantaneous peak value to time-integrated area value. This parameter transformation inherently filters high-frequency noise through temporal integration, improving signal-to-noise ratio while maintaining computational feasibility through standard numerical integration methods
Solution Approach 2:
The patent utilizes the periodic nature of pulse waves by integrating over complete cardiac cycles. This periodic integration approach naturally averages out random noise while preserving the systematic pulse signal, improving measurement accuracy without requiring complex filtering algorithms
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 content measurement under low perfusion conditions by reducing noise interference, allowing for precise calculation of blood oxygen saturation.
Implementation Method 1
the difference between light absorption coefficients of reduced hemoglobin and oxyhemoglobin based on the Lambert-Beer law
Implementation Method 2
I=I0e−εcd, Where I is the intensity of transmitted light, I0 is the intensity of incident light, C is the concentration of the light-receiving matter in solution, d is the path length of light absorbed by solution, and ε is the light absorption coefficient of the matter
Implementation Method 3
converting the light signals passing through the fingers and containing the information of blood oxygen saturation into electrical signals
Data Source
AI summary
A method for measuring blood oxygen content under low perfusion, which is used in a device for measuring blood oxygen content, includes the steps of: initializing the device that is applied with power, collecting and processing data with a driving circuit of light emitting device, a bias circuit, a gain circuit and an A/D sampling circuit, which are controlled under a core control module; calculating blood oxygen saturation based on the collected data with a data processing module which integrates the collected data in a period of time with an area integration method; and outputting from a communication functional module results of the blood oxygen saturation or pulse rate calculated with the data processing module. The method further includes a decision step of deciding the two results acquired from the data processing module with the waveform method and the integration method respectively based on the intensity of the measured signal and generating the final measured result, performed by a decision unit included in the device. By adopting the above method, the disturbance to effective signal by noise can be eliminated. As a result, the measuring accuracy of blood oxygen content under low perfusion can be improved without increasing the production cost for the measuring device.