Binocular Visual Training With Adaptive Stimuli for Amblyopia
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Solution Overview
Problem
Conventional occlusion therapy for treating amblyopia and suppression is ineffective for severe cases, inconvenient for children, and does not improve depth perception, often resulting in residual amblyopia and varying treatment outcomes.
Innovation Solution
A computing device implements therapeutic activities using visual challenges and dissociative glasses to improve visual acuity, fusional capability, and stereoscopic acuity by generating sets of visual elements with different characteristics and offsets, adjusting attributes based on user responses, and modifying challenges progressively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If occlusion therapy by patching the non-amblyopic eye is used, then the amblyopic eye receives visual training, but treatment effectiveness is poor for severe cases and residual amblyopia remains
Solution Approach 1:
The visual stimulus is segmented into two separate sets: a first set of visual elements displayed to the amblyopic eye and a second set displayed to the non-amblyopic eye. This segmentation allows each eye to receive tailored visual input, with the amblyopic eye receiving high-contrast, high-spatial-frequency stimuli that specifically target its developmental needs, while the non-amblyopic eye receives different stimuli that prevent suppression without blocking vision entirely.
Solution Approach 2:
The system dynamically changes multiple parameters of the visual elements including contrast, spatial frequency, size, and temporal characteristics. By adjusting these parameters based on real-time performance feedback, the treatment adapts to the patient's improving vision, gradually increasing difficulty to maintain optimal therapeutic effect and prevent plateauing.
2Reliability
If patching therapy is applied, then the amblyopic eye is trained, but the method is inconvenient for children and compliance is poor
Solution Approach 1:
The mechanical patching system is replaced with a computational system that uses software-controlled visual displays and automated feedback mechanisms. The treatment is delivered through a computer or display device that presents engaging visual tasks and games, eliminating the need for physical patches and making the therapy more appealing and easier to administer to children.
Solution Approach 2:
The system incorporates automated performance monitoring and adaptive difficulty adjustment that responds to the child's actions without requiring constant adult intervention. The visual elements automatically adjust based on the child's performance, and the system tracks progress, reducing the burden on both the child and the administering adult while maintaining treatment effectiveness.
3Measurement precision
If conventional occlusion therapy is used, then visual acuity may improve, but depth perception and fusional capability are not improved
Solution Approach 1:
The system merges the treatment of visual acuity with the development of binocular functions by simultaneously presenting visual elements to both eyes that require coordination and fusion. The visual tasks are designed to engage both eyes working together, thereby improving not only the acuity of the amblyopic eye but also depth perception, stereopsis, and fusional capability through integrated binocular exercise.
4Reliability
If static visual challenges are provided, then the amblyopic eye receives training, but the treatment lacks progressive difficulty and engagement
Solution Approach 1:
The visual challenges are made dynamic through real-time adaptation of difficulty based on the child's performance. The system continuously monitors responses and adjusts parameters such as element size, contrast, spatial frequency, and task complexity to maintain optimal challenge level. This dynamic adjustment ensures the treatment remains engaging and effectively targets the amblyopic eye's developmental needs throughout the therapy course.
Solution Approach 2:
The system incorporates immediate feedback mechanisms where the child's performance directly influences the next set of visual elements presented. Correct responses lead to increased difficulty or more challenging visual tasks, while the system provides continuous monitoring and adjustment. This feedback loop maintains high engagement by making the treatment responsive to the child's abilities and progress.
Data Source
AI summary
Approaches for implementing therapeutic activities comprising visual challenges and tasks for improving visual acuity and stereoscopic acuity for management of binocular vision disorders are described. In an example, the computing device may generate two sets of visual elements with different visual characteristics, with each set corresponding to each eye of the user. The visual elements may be displayed based on values of element attributes such as contrast, size, spatial frequency and speed. The user may then be prompted to provide a response. Based on received user's response, the element attributes may be modified, and new sets of visual elements may be displayed. In another example, visual elements with two images separated by a certain offset may be displayed. The user may be prompted to provide a response. Based on user's response, the offset value of one of the visual elements may be modified and modified visual elements may be displayed.