Pulse Photometer Concentration Accuracy via Statistical Correction
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Solution Overview
Problem
Existing pulse photometry systems face challenges in accurately calculating the concentration of blood light absorbers due to variations in light absorption by venous blood and tissues, which are not adequately considered in current methods.
Innovation Solution
The proposed pulse photometer system uses multiple emitters emitting lights at different wavelengths and a processor to calculate the concentration of blood light absorbers by applying correction amounts based on statistically determined constants and functions of light variations, thereby improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pulse photometry methods are used to calculate blood light absorber concentration, then the calculation process is simple, but the measurement precision is insufficient due to unaccounted variations in venous blood and tissue light absorption
Solution Approach 1:
The patent applies parameter changes by introducing correction amounts that adjust the pulse wave signal based on statistical parameters (constants and functions) derived from multiple subjects. These correction amounts modify the relationship between light absorption variations and concentration calculations, accounting for individual differences in venous blood and tissue properties without requiring complex additional hardware
Solution Approach 2:
The patent implements feedback by using statistically determined correction amounts that are applied to the measured pulse wave signals. The correction process uses pre-determined constants and functions (derived from population data) to adjust individual measurements, creating a feedback mechanism that compensates for systematic errors in light absorption measurements
2Measurement precision
If correction amounts based on statistical constants and functions are applied to pulse wave signals, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-determining statistical constants and functions from population data before actual measurements are taken. These correction parameters are calculated in advance based on aggregated data from multiple subjects, allowing individual measurements to be corrected using pre-computed values rather than requiring complex real-time calculations
Solution Approach 2:
The patent transforms the complex problem of individual variation compensation into a parameter adjustment task. By representing corrections as simple additive amounts derived from statistical parameters (constants and functions), the system maintains computational simplicity while improving measurement accuracy
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 calculation accuracy of blood light absorber concentrations by accounting for individual differences in light absorption by venous blood and tissues, leading to more precise measurements.
Implementation Method 1
The intensity of the light of each wavelength in the detector varies according to blood pulsation in the subject. The variation over time of the intensity of the light of a specific wavelength due to the pulsation is acquired as a pulse wave signal associated with the light of the wavelength.
Data Source
AI summary
A pulse photometer includes: an interface receiving a first signal and a second signal; and a processor configured to calculate a concentration of at least one blood light absorber in a subject, based on the first and second signals. The processor is configured to: acquire a first variation of the first light due to blood pulsation in the subject, acquire a second variation of the second light due to the pulsation, and calculate the concentration of the at least one blood light absorber, based on a first correction amount and a second correction amount. The first correction amount is based on at least one of a first constant, the first variation and the second variation, which are statistically determined. The second correction amount is based on at least one of a second constant, the first variation and the second variation, which are statistically determined.