Visual Stimulus Assessment System for Neural Disease Diagnosis
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Solution Overview
Problem
Current methods for assessing neurological and mental disorders, such as Alzheimer's, Parkinson's, autism, and schizophrenia, lack effective tools for early detection and monitoring of visual and cognitive impairments, relying on costly and burdensome brain imaging and qualitative behavioral assessments that do not quantify visual deficits effectively.
Innovation Solution
A system and method for quantitative assessment of functional impairment using a combination of input, display, and control devices, presenting dynamic scenes to subjects and analyzing their responses to diagnose and recommend interventions, incorporating artificial intelligence for real-time scoring and diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If brain imaging and qualitative behavioral assessments are used for diagnosis, then diagnostic accuracy is improved, but cost and operational burden increase significantly
Solution Approach 1:
The patent replaces complex mechanical and procedural diagnostic systems (brain imaging equipment, multiple behavioral assessments) with a computerized visual processing system that uses software algorithms to analyze visual stimuli responses, thereby maintaining diagnostic accuracy while reducing operational burden and cost
Solution Approach 2:
The patent creates a simplified computational model that copies and analyzes visual processing patterns, using virtual simulations of visual scenarios to assess cognitive and visual functions without requiring physical brain imaging procedures
2Measurement precision
If quantitative assessment methods are implemented, then measurement precision of visual deficits is improved, but device complexity increases
Solution Approach 1:
The patent changes the parameters of visual stimuli (contrast, luminance, spatial frequency, temporal frequency) and systematically varies them to quantify visual processing thresholds and sensitivities, enabling precise measurement of visual deficits through controlled parameter modifications
Solution Approach 2:
The patent implements feedback mechanisms where the system adjusts stimulus parameters based on subject responses, using adaptive algorithms to converge on threshold values that precisely quantify visual processing capabilities while maintaining an manageable system through automated control
3Loss of time
If early detection capabilities are enhanced through sensitive testing, then diagnostic timing is improved, but test complexity and subject burden increase
Solution Approach 1:
The patent applies partial action by focusing testing on specific visual processing domains most relevant to early detection of neurological conditions, rather than进行全面 comprehensive testing, thereby achieving early diagnosis with reduced subject burden and test complexity
Data Source
AI summary
A method and system are presented to address quantitative assessment of word recognition sensitivity of a subject, where the method comprises the steps of: (1) presenting at least one scene, comprising a plurality of letters and a background, to a subject on a display; (2) moving the plurality of letters relative to the scene; (3) receiving feedback from the subject via at least one; (4) quantitatively refining the received feedback; (5) modulating the saliency of the plurality of letters relative to accuracy of the quantitatively refined feedback; (6) calculating a critical threshold parameter; and (7) recording a critical threshold parameter onto a tangible computer readable medium.