Cone Contrast Color Vision Testing for Fast Threshold Detection
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Solution Overview
Problem
Current eye tests for color vision loss, such as the Cone Contrast Test (CCT), are inefficient and impractical for early detection and monitoring of hereditary and acquired color vision deficiencies due to reliance on visual acuity, require lengthy test times, and are not suitable for small display devices like smartphones, leading to inaccurate results and limited usability.
Innovation Solution
A method and apparatus for administering a cone contrast color vision test using a computer, which simultaneously displays colors at varying contrast levels in different regions, allowing patients to input responses via touch, voice, or eye tracking, with automated calibration and scoring, and includes a learning algorithm to optimize test duration and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current Cone Contrast Test procedures are used, then color vision loss can be detected, but the test requires lengthy test times and is inefficient
Solution Approach 1:
The test adapts dynamically to each patient's responses by adjusting the contrast level of subsequently presented colors. The system increases contrast when the patient correctly identifies a color and decreases contrast when incorrect, creating a dynamic testing sequence that efficiently converges on the patient's threshold without requiring fixed, lengthy test protocols
Solution Approach 2:
The test systematically varies the contrast parameter of presented colors to determine the patient's threshold. By changing the contrast level based on patient responses and using adaptive algorithms, the system efficiently maps the patient's color vision capabilities without requiring exhaustive testing at all contrast levels
2Measurement precision
If traditional CCT procedures are used, then color vision testing can be performed, but the tests are not suitable for small display devices like smartphones
Solution Approach 1:
The testing system is designed to be universally compatible across multiple device types including smartphones, tablets, and computer monitors. The software adapts to different display characteristics and screen sizes, allowing the same test protocol to be administered effectively on various platforms without requiring device-specific modifications
Solution Approach 2:
The system adjusts display parameters such as color space, brightness, and contrast based on the specific device being used. By calibrating and adapting the stimulus presentation to match the capabilities of each device type, the test maintains measurement precision across smartphones with small screens, tablets, and traditional computer monitors
3Ease of operation
If current CCT procedures requiring visual acuity recognition are used, then color vision can be tested, but the results are inaccurate for patients with poor visual acuity
Solution Approach 1:
The test extracts and isolates the color vision measurement component from the visual acuity requirement. By using simple geometric shapes and basic response mechanisms that do not depend on letter or symbol recognition, the system separates color perception ability from reading and acuity skills, allowing accurate color vision testing in patients with poor visual acuity
Solution Approach 2:
Instead of requiring patients to identify what they see and match it to options, the system inverts the approach by having patients indicate the presence or absence of color contrast directly on the stimulus display. This reversal eliminates the need for separate response pads or complex matching tasks that confound color vision measurement with visual acuity and cognitive processing
Data Source
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AI summary
A method for administering a cone contrast color vision test includes displaying a first color at a first contrast level in a first region of a display and a second color at a first contrast level in a second region of the display, receiving a first input signal via an input device that indicates whether the patient recognizes the first region, displaying the first color at a second contrast level in a third region of the display and the second color at a second contrast level in a fourth region of the display, receiving a second input signal indicative of whether the patient recognizes the third region, assigning a score related to cone sensitivity of the first color at the first and second contrast levels, storing the score, and comparing the score to a previous score to calculate a progression of a cone sensitivity loss.