Physiological Monitoring Distortion Factor Compensation
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Solution Overview
Problem
Current physiological monitoring systems face challenges in accurately determining physiological information due to unknown light loss between sensors and skin, variability in emitters, and unpredictable scattering and absorption in tissue, leading to distorted views of physiological parameters.
Innovation Solution
The system calculates distortion factors based on received light signals and oxygen saturation values to improve the accuracy of physiological parameter calculations, using multiple wavelengths of light and accounting for interaction with tissue, allowing for more precise determination of physiological information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional physiological monitoring systems use light signals to measure physiological parameters, then the monitoring can be performed non-invasively, but the accuracy is reduced due to unknown light loss, emitter variability, and tissue scattering/absorption
Solution Approach 1:
The system uses feedback by measuring actual light signals returning from tissue and using them to calculate distortion factors that compensate for light loss, emitter variability, and tissue effects. The measured physiological parameters (like oxygen saturation) feed back into the calculation of distortion factors, which then improve subsequent measurements.
Solution Approach 2:
Distortion factors serve as intermediary variables that mediate between the raw light signal measurements and the final physiological parameter calculations. These distortion factors encapsulate the effects of light loss, emitter variability, and tissue scattering/absorption, allowing the system to correct for these issues without directly measuring each individual effect.
2Measurement precision
If the system accounts for variability in light interaction with tissue through distortion factors, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system changes parameters by introducing distortion factors that transform the relationship between raw light signals and physiological parameters. Instead of directly calculating physiological parameters from light signals, the system first calculates distortion factors from the light signals and physiological measurements, then uses these factors to improve subsequent parameter calculations.
Solution Approach 2:
The signal processing is segmented into distinct stages: (1) measuring light signals and initial physiological parameters, (2) calculating distortion factors from these measurements, and (3) using distortion factors to determine improved physiological parameters. This segmentation makes the complex processing more manageable and systematic.
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 physiological parameter calculations by accounting for variability in light interaction with tissue, providing improved confidence in monitoring and calculating parameters like oxygen saturation, perfusion, and cardiac output.
Implementation Method 1
unknown light loss between sensors and skin, variability in emitters, and unpredictable scattering and absorption in tissue
Implementation Method 2
unpredictable scattering and absorption in tissue
Data Source
AI summary
Methods and systems are provided for determining physiological information based on distortion factors and physiological signals. Physiological signals are received by a system. The system may receive or determine a value indicative of oxygen saturation. The distortion factors may be calculated based on the value indicative of oxygen saturation and the physiological signals. The distortion factors may be used to determine physiological information.