Psychophysical Visual Symptom Testing With Bayesian Response Analysis
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Solution Overview
Problem
Intraocular lens designs suffer from visual symptoms like glare and halos, which are challenging to characterize clinically due to variability in patient responses and subjective bias in self-reported questionnaires, leading to uncertain and unreliable assessments.
Innovation Solution
A psychophysical method using a display to present visual stimuli and elicit binary responses from patients, combined with a Bayesian approach to iteratively update probabilities based on patient responses, allowing for objective measurement of visual symptoms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional visual tests (e.g., Snellen chart, Amsler grid) are used to assess visual symptoms, then the testing process is simple and quick, but the tests cannot detect subtle or early-stage visual disturbances and provide limited diagnostic information
Solution Approach 1:
The visual test stimulus is divided into multiple segments or elements that can be independently controlled and presented. This allows systematic variation of different visual parameters (contrast, orientation, spatial frequency) to detect specific types of visual disturbances with higher precision while keeping each individual test component simple
Solution Approach 2:
The patent introduces multiple dimensions of visual stimulation beyond traditional 2D patterns. By adding temporal dimensions (changing over time), spatial dimensions (different locations), and contrast dimensions (varying luminance), the system detects visual symptoms that conventional single-dimension tests miss, improving measurement precision without requiring complex equipment
2Loss of information
If detailed psychophysical testing is performed to characterize visual symptoms, then diagnostic information is improved, but the testing time and patient burden increase significantly
Solution Approach 1:
The system performs preliminary characterization of visual symptoms by automatically detecting key features (contrast sensitivity, spatial frequency response, temporal patterns) before comprehensive diagnostic evaluation. This preliminary psychophysical profiling guides subsequent targeted testing, reducing overall testing time while maintaining high diagnostic information quality
Solution Approach 2:
The testing system incorporates real-time feedback where patient responses are immediately processed to adjust stimulus parameters dynamically. This adaptive feedback mechanism efficiently characterizes visual symptoms by eliminating unnecessary test trials and focusing on critical diagnostic parameters, significantly reducing testing time while improving information quality
3Ease of operation
If standard visual acuity testing is used, then the test is easy to administer, but it cannot detect functional visual disturbances or provide insight into visual processing deficits
Solution Approach 1:
The visual testing system is designed to perform multiple functions through a single integrated platform. It can assess visual acuity, contrast sensitivity, spatial processing, temporal processing, and functional vision all through one system. This multi-functionality maintains ease of operation while significantly improving diagnostic reliability by providing comprehensive visual characterization
Solution Approach 2:
The system varies multiple visual parameters simultaneously (contrast, spatial frequency, temporal frequency, orientation) to create a comprehensive profile of visual function. By changing parameters systematically rather than testing single functions in isolation, the system maintains operational simplicity while providing reliable diagnostic information about visual processing deficits
Data Source
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AI summary
A psychophysical method, system, and apparatuses to characterize visual symptoms. A method may include presenting one or more stimuli to a patient indicating one or more visual symptoms. The patient may produce one or more responses to the stimuli. A determination of a measure of visual symptoms of the patient may be made utilizing a Bayesian method based on the responses.