VR Visual Anomaly Simulation for Non-Invasive Ocular Diagnosis
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Solution Overview
Problem
Current VR technology lacks effective methods for diagnosing ocular conditions and diseases, such as eye misalignment, macular degeneration, and visual processing disorders, relying on invasive procedures and prolonged testing.
Innovation Solution
Implementing VR systems with eye-tracking sensors, real-time rendering, and machine learning algorithms to simulate visual anomalies, adaptively adjust symptoms, and analyze patient responses for precise diagnostic insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional diagnostic procedures are used, then diagnostic accuracy can be achieved, but the procedures are invasive and time-consuming
Solution Approach 1:
The patent creates virtual copies of visual anomalies (floaters, cataracts, glaucoma effects, macular degeneration patterns) that are displayed to patients through a computing device. These virtual representations replicate the visual experience of actual ocular conditions without requiring invasive procedures, allowing patients to indicate whether they experience similar symptoms in their real vision.
Solution Approach 2:
The patent replaces traditional mechanical and invasive diagnostic tools with a software-based system that uses a computing device to present visual simulations. The system substitutes physical examinations and invasive testing with a digital interface where patients respond to presented visual anomalies, thereby eliminating the need for uncomfortable or invasive procedures while maintaining diagnostic capability.
2Measurement precision
If comprehensive ocular exams are conducted, then diagnostic precision is improved, but the testing time is prolonged
Solution Approach 1:
The patent presents multiple types of visual anomalies (floaters, cataracts, glaucoma, macular degeneration) to each patient, but not all conditions will be present in every patient. The system efficiently screens for multiple conditions simultaneously by presenting a comprehensive set of visual simulations, allowing early termination when a match is found or when the patient indicates no symptoms, thereby reducing average testing time while maintaining comprehensive diagnostic coverage.
Solution Approach 2:
The patent performs preliminary screening by presenting visual anomalies that represent common ocular conditions before more extensive diagnostic procedures are needed. The system quickly identifies patients who may have specific conditions through these initial visual simulations, allowing for targeted follow-up exams only when necessary, thus reducing overall testing time for the patient population.
3Reliability
If visual anomalies are simulated to match patient symptoms, then diagnostic accuracy is enhanced, but the complexity of the system increases
Solution Approach 1:
The patent uses a single computing device that can present multiple types of visual anomalies (floaters, cataracts, glaucoma effects, macular degeneration patterns) through software. This universal system replaces the need for multiple specialized diagnostic devices, as one multi-functional platform can simulate various ocular conditions by loading different visual content, thereby managing complexity while maintaining comprehensive diagnostic capability.
Solution Approach 2:
The patent adjusts parameters of the visual simulations (such as the appearance, movement, and characteristics of virtual floaters; the density and opacity of cataract simulations; the field loss patterns for glaucoma; and the central vision defects for macular degeneration) to match the specific symptoms reported by each patient. This parameter adjustment approach allows the system to adapt to individual patient needs without requiring completely different diagnostic tools for each condition.
Data Source
AI summary
A patient's visual health can be evaluated via virtual reality (VR) system in electronic communication with a computing device. The computing device can cause a first visual anomaly—such as blurred vision, double vision, floaters, field loss, etc.—to be displayed on the VR system. The VR system can collect the patient's responses to the first visual anomaly, and the computing device can analyze the patient's responses to develop a second visual anomaly to be displayed on the VR system. This procedure may continue until the computing device has completed a comprehensive evaluation of the visual anomalies perceived by the patient. The computing device can diagnose the patient with one or more ocular conditions and recommend treatment.