Amblyometer Brightness Disparity Detection via Rivalrous Binocular Stimuli
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Solution Overview
Problem
Current visual assessment methods fail to accurately detect and quantify brightness disparities between the two eyes, which can indicate visual system imbalances due to diseases, as they often require complex setups and cannot isolate brightness differences effectively.
Innovation Solution
The Amblyometer uses binocular stimuli to measure brightness disparities by presenting vertically aligned rivalrous images of reciprocal brightness, allowing for the adjustment of one image's brightness to balance the system, analogous to a Wheatstone bridge, thereby quantifying visual system defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex visual assessment setups are used to detect brightness disparities, then measurement capability is improved, but device complexity increases
Solution Approach 1:
The visual field is segmented into four distinct quadrants (top-left, top-right, bottom-left, bottom-right), with each quadrant presenting a unique brightness level. This segmentation allows independent control and measurement of brightness disparities in different visual field regions, enabling precise detection while maintaining a relatively simple overall device structure.
Solution Approach 2:
The invention varies the brightness parameter of visual stimuli across different quadrants to create controlled brightness disparities. By systematically changing brightness levels in each quadrant and measuring the subject's perception, the device can detect and quantify brightness disparities without requiring complex mechanical or optical components.
2Reliability
If multiple viewers and endpoint references are used to ensure accurate measurement, then measurement reliability is improved, but device complexity increases
Solution Approach 1:
The device uses the subject's own visual system as the measurement instrument. The subject's perception of brightness equality serves as the endpoint reference, eliminating the need for external viewers or separate reference standards. This self-service approach ensures measurement reliability while significantly simplifying the device structure.
Solution Approach 2:
The invention introduces a computational model that acts as an intermediary between the visual stimuli and the measurement outcome. The model processes the subject's responses and calculates brightness disparity values, providing reliable and objective measurements without requiring complex physical measurement apparatus.
3Measurement precision
If vertically aligned rivalrous images of reciprocal brightness are presented, then brightness equality detection is improved, but ease of operation decreases
Solution Approach 1:
The device provides immediate feedback to the subject regarding which quadrant appears brighter, allowing the subject to adjust their perception until brightness equality is achieved. This feedback mechanism enhances measurement precision by enabling iterative refinement of the brightness balance point, while the automated presentation of stimuli maintains operational simplicity.
Data Source
AI summary
A machine and method for balancing across the brain's fusion bridge rivalrous stimuli of image pairs having diametrically opposed brightness and means of adjusting the rivalrous balance to measure the depth of a vision defect.