Multi-Wavelength Visual Acuity Testing for Myopia Monitoring
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Solution Overview
Problem
Current methods for monitoring myopia progression at home lack sensitivity in detecting small changes in visual acuity, as they rely on traditional eye charts and testing protocols that are not standardized or automated, making it difficult to detect clinically significant changes in myopia progression, especially in children and young adults.
Innovation Solution
An adaptive algorithm for visual acuity testing on electronic platforms like smartphones and tablets that uses multiple color wavelengths (red, green, and white) to monitor focal length changes over time, providing a more sensitive tool for detecting myopia progression by capitalizing on the differing refractive properties of various light wavelengths and incorporating gamification to enhance user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional eye charts and testing protocols are used for home monitoring, then the testing is simple and accessible, but the sensitivity to detect small changes in visual acuity is poor
Solution Approach 1:
The patent applies parameter changes by introducing multiple color wavelengths (red, green, blue) as testing parameters alongside traditional white optotypes. This allows the system to detect chromatic aberration effects that reveal focal length changes more sensitively than traditional single-color testing, thereby improving measurement precision without requiring complex external equipment
Solution Approach 2:
The patent replaces manual, examiner-dependent testing procedures with an automated algorithm that objectively measures visual acuity across different color wavelengths. The system automatically compares performance across red, green, blue, and white optotypes to detect focal length changes, eliminating the need for skilled professionals while improving measurement consistency and sensitivity
2Measurement precision
If standardized adaptive testing protocols like ETDRS are used, then measurement precision is improved, but the testing becomes time-consuming and requires extensive training
Solution Approach 1:
The patent segments the visual acuity testing process into parallel color wavelength assessments (red, green, blue, white). By conducting these measurements simultaneously rather than sequentially through traditional adaptive steps, the system maintains measurement precision while reducing overall testing time. The segmented approach allows independent evaluation of each wavelength's performance
Solution Approach 2:
The patent implements self-service by enabling patients to perform standardized adaptive testing at home without requiring trained examiners. The automated algorithm guides patients through the testing process, collects data across multiple color wavelengths, and generates objective reports, making precision testing accessible to laypeople while eliminating time lost in professional clinic visits
3Measurement precision
If multiple color wavelengths are tested simultaneously, then sensitivity to detect focal length changes is improved, but the device complexity increases
Solution Approach 1:
The patent applies universality by using a single smartphone or tablet device to perform all color wavelength testing. The device's display and camera systems are leveraged to present and capture images across red, green, blue, and white optotypes, eliminating the need for multiple specialized instruments. This multi-functional approach improves detection sensitivity while keeping device complexity manageable
4Reliability
If traditional visual acuity testing is used, then the testing procedure is simple, but test-to-test fluctuation is high and small changes are difficult to detect
Solution Approach 1:
The patent implements feedback by automatically comparing performance across multiple color wavelengths and providing objective analysis of focal length changes. The system feeds back results that highlight inconsistencies between different wavelength performances, helping distinguish true vision changes from random fluctuation. This feedback mechanism improves reliability without significantly complicating the testing procedure
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
This approach allows for early detection of myopia worsening by differentiating true vision changes from test-to-test fluctuations, enabling timely intervention and reducing the need for frequent professional eye examinations, while maintaining user engagement through gamified testing.
Implementation Method 1
Shorter wavelengths (e.g., blue or green) are refracted to a greater degree than longer wavelengths (e.g., red).
Data Source
AI summary
A system and method for home testing of patient focal length, and detecting for the presence or changes in myopic conditions utilizing a multi-colored testing screen. Utilizing the varied refractive properties of each wavelength of light (colors), changes in myopia and focal length can be monitored in each of the separate colors. Baseline visual acuity is determined, and the testing occurs with relevant-sized optotypes. Optotypes are displayed in red, white, and green, simultaneously on a display screen set at four meters distance. Games and acuity tests are conducted to determine the focal acuity at each of the wavelengths. Results are recorded and used for future diagnosis and treatment.