Endoscope Oxygen Saturation Correction via Fluctuation Comparison
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Solution Overview
Problem
Existing endoscope systems face challenges in accurately calculating oxygen saturation degrees due to factors like blurring, defocusing, positional shifts, and light quantity fluctuations between frames, which affect the calculation accuracy even during pre-measurement.
Innovation Solution
An endoscope system with a living body characteristic amount calculation unit and a correcting unit that uses multi-frame images to calculate and correct for image fluctuations, determining a temporary correction value based on comparison of correction and measurement image fluctuation amounts to improve oxygen saturation degree calculation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multi-frame images are used for oxygen saturation degree calculation, then measurement completeness is improved, but calculation accuracy deteriorates due to positional shifts and light quantity fluctuations between frames
Solution Approach 1:
The system performs pre-measurement to acquire correction multi-frame images before the main measurement. This preliminary action captures images under similar conditions (including any positional shifts or light fluctuations) so that correction values can be calculated in advance to compensate for these variations during the actual oxygen saturation degree measurement
Solution Approach 2:
The system calculates correction values based on the difference between pre-measurement images and reference images, then applies these correction values to the main measurement images. This feedback mechanism uses the pre-measurement data to correct and improve the accuracy of the final oxygen saturation degree calculation
2Adaptability or versatility
If pre-measurement is performed to correct calculation tables, then adaptability to different body parts is improved, but reliability of pre-measurement results deteriorates due to fluctuation factors
Solution Approach 1:
The system introduces correction values as an intermediary element between the pre-measurement images and the final oxygen saturation degree calculation. These correction values, derived from comparing pre-measurement images with reference images, serve to compensate for fluctuation factors and enable reliable adaptation to different body parts without being directly limited by the unreliability of raw pre-measurement data
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
Enables accurate calculation of oxygen saturation degrees even in situations with positional shifts and other fluctuations, enhancing the reliability of the measurement process.
Implementation Method 1
imaging an observation target with a light source and an imaging sensor
Implementation Method 2
devising the wavelength of illumination light to be radiated the observation target
Data Source
AI summary
A correction image fluctuation amount obtained in a calibration mode and a measurement image fluctuation amount obtained in a measurement mode are compared with each other. On the basis of the comparison result, a temporary correction value, which satisfies a specific condition among temporary correction values stored in the correction value storage unit, is determined as a measurement correction value to be used for correction in a correcting unit.