Adaptive Visual Acuity Modeling for Cross-Chart Precision
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Solution Overview
Problem
Existing visual acuity testing methods lack precision and standardization, leading to inconsistent results across different chart designs and making it difficult to track vision changes over time, especially in clinical settings.
Innovation Solution
A system and method for developing personalized acuity charts using interchangeable chart-invariant and chart-specific metrics, combined with adaptive algorithms to optimize optotype selection and scoring, allowing for precise and rapid visual acuity assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standardized visual acuity charts are used for clinical testing, then ease of operation and widespread distribution are improved, but measurement precision and consistency across different chart designs deteriorate
Solution Approach 1:
The patent creates a universal scoring algorithm that can process and score visual acuity data from multiple different chart designs (ETDRS, Snellen, tumbling E, etc.) using a single unified approach. This allows the system to maintain ease of operation with various chart types while achieving consistent measurement precision through the common scoring methodology based on logMAR transformation and psychometric function fitting.
Solution Approach 2:
The patent transforms visual acuity measurements from various chart designs into a standardized parameter system using logMAR (logarithm of the minimum angle of resolution). By converting different chart measurements into this common parameter space and applying psychometric function fitting, the system achieves precise and consistent acuity estimation across diverse chart types while maintaining operational simplicity.
2Productivity
If multiple lines of optotypes are presented at one time, then testing efficiency is improved, but measurement precision and adaptive personalization deteriorate
Solution Approach 1:
The patent implements feedback mechanisms where the scoring algorithm continuously refines acuity estimates based on patient responses to multiple optotypes. The psychometric function fitting process uses response data from multiple lines to iteratively improve the precision of the acuity estimate, allowing the system to maintain high testing efficiency while achieving accurate personalized measurements through adaptive scoring.
3Adaptability or versatility
If different chart designs are used across clinical sites, then adaptability to various patient populations is improved, but measurement consistency and data comparability deteriorate
Solution Approach 1:
The patent develops a universal scoring framework that accommodates multiple chart designs (ETDRS, Snellen, tumbling E, HOTV, Lea) within a single consistent methodology. By transforming all chart types into logMAR parameters and applying unified psychometric analysis, the system maintains adaptability to different patient populations and chart preferences while ensuring measurement consistency and comparability across all clinical sites.
Data Source
AI summary
Disclosed herein are system and method for testing and analysis of visual acuity and changes using an acuity model, the acuity model generated based on one or more acuity chart design parameters and candidate acuity parameters calculated using the acuity test data of the subject, the acuity model comprising a chart-specific psychometric function determined using a family of multiple-optotype psychometric functions, and wherein the acuity model is configurable to estimate possibility of obtaining the acuity test data of the subject.