Eye Tracking System for ASD Diagnostic Accuracy
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Solution Overview
Problem
Current diagnostic methods for developmental disorders such as autism spectrum disorders (ASD) lack sensitivity and specificity, leading to late diagnosis and ineffective treatments, and provide inadequate tools for measuring treatment progress.
Innovation Solution
A system and method using eye tracking data analysis in response to visual stimuli, including videos, to detect and quantify developmental conditions, providing accurate diagnostic and prescriptive information, and predicting outcomes for ASD and other cognitive disabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional diagnostic methods are used for developmental disorders, then the diagnostic process is simple and accessible, but the sensitivity and specificity are poor leading to late diagnosis
Solution Approach 1:
The patent replaces traditional mechanical/clinical observation-based diagnostic methods with an optical eye tracking system. The eye tracking device uses cameras and image processing to capture and analyze eye movement data, substituting the mechanical/subjective assessment process with an optical measurement system that provides objective, quantifiable metrics for diagnosing developmental disorders.
Solution Approach 2:
The patent transforms the diagnostic approach by changing the measured parameters from general behavioral observations to specific eye movement parameters such as fixation duration, saccade amplitude, and pupil dilation. These parameter changes enable precise measurement of cognitive processing patterns that are characteristic of developmental disorders, significantly improving diagnostic accuracy.
2Loss of information
If traditional diagnostic tools are used, then the assessment process is quick and easy to administer, but the ability to measure treatment progress is inadequate
Solution Approach 1:
The patent enables continuous measurement of eye movement parameters throughout the assessment process and during treatment sessions. The eye tracking system continuously captures data without interrupting the subject's natural behavior, providing an ongoing record of cognitive processing that can be used to measure treatment progress over time while maintaining efficient assessment procedures.
Solution Approach 2:
The system provides quantitative feedback through detailed eye movement analysis that informs both diagnosis and treatment monitoring. The measured parameters such as fixation patterns and saccade characteristics provide objective feedback about cognitive functioning, enabling clinicians to track treatment effectiveness and adjust interventions based on measurable changes in eye movement behavior.
Data Source
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AI summary
Systems, devices, and methods are described for the assessment, screening, monitoring, or diagnosis of developmental or cognitive conditions, including autism spectrum disorders (ASD) by analysis of eye tracking data generated from feedback received as a result of display of specific predetermined visual stimuli to a subject or patient. Subsequent to a calibration phase, a testing procedure is performed by presenting predetermined stimuli (e.g., videos) to a subject via a display device. Eye tracking data (from the subject moving his or her eyes in response to predetermined movies or other visual stimuli) are collected. During the data collection period, the system periodically presents targets to reflexively elicit the subject's gaze. These data are used to later verify accuracy. Analysis of the subject's viewing patterns during these stimuli is used for the assessment, screening, monitoring, or diagnosis of developmental or cognitive conditions such as ASD.