Eye Movement Testing for Rapid Concussion and Metabolic Detection
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Solution Overview
Problem
Current methods for detecting concussions and other metabolic disorders in the brain, such as diabetes and hyperglycemia, lack reliability and objectivity, especially in field settings, and do not provide rapid assessment.
Innovation Solution
The methods and systems utilize eye function and morphology changes caused by perturbations in glucose and oxygen levels to detect diseases like concussions by comparing first and second eye movement or structure tests, using imaging and analysis systems to identify alterations in eye movements and structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional medical examinations and CT scans are used to detect concussions, then diagnostic accuracy can be improved, but the time required for detection increases and device availability is limited
Solution Approach 1:
The patent extracts the essential diagnostic function from complex medical equipment (CT scanners, specialized facilities) and relocates it to a portable device that can be used in field settings. The handheld device captures eye movement data and performs concussion assessment without requiring access to large-scale medical infrastructure, thereby reducing detection time while maintaining diagnostic capability.
Solution Approach 2:
The patent replaces traditional mechanical and manual assessment methods (physical examinations, observer-based evaluations) with an automated electronic system. The handheld device uses sensors, processors, and algorithms to objectively measure eye movement parameters, eliminating subjectivity and reducing the time required for assessment while improving reliability.
2Ease of operation
If subjective medical examinations are performed to assess concussions, then diagnostic capability is maintained, but reliability and objectivity decrease
Solution Approach 1:
The patent implements automated feedback mechanisms where the handheld device objectively measures eye movement parameters, compares them against established concussion criteria, and provides immediate diagnostic feedback. This eliminates the subjectivity of manual examinations while maintaining ease of operation, as the device automatically processes data and generates reliable results without requiring complex human judgment.
Solution Approach 2:
The system enables self-service functionality where the device autonomously performs data collection, analysis, and interpretation. The handheld device captures eye movement data, processes it through algorithms, and generates diagnostic conclusions without requiring extensive medical professional intervention, thereby improving reliability through consistent automated assessment while keeping the operation simple.
3Measurement precision
If comprehensive baseline testing is performed before events, then diagnostic accuracy improves, but the complexity of the testing regimen increases
Solution Approach 1:
The patent creates a universal handheld device that performs multiple functions: it conducts baseline eye movement assessment, performs acute concussion evaluation, and provides ongoing monitoring. This multi-functional approach maintains measurement precision by using the same device and methodology across different testing phases, while reducing overall complexity by consolidating multiple testing requirements into a single portable instrument.
Data Source
AI summary
Disclosed herein are systems and methods for the detection of alterations in glucose metabolism in a subject. The disclosed methods and systems provide, in certain embodiments, administering a first eye test to the subject when the subject is in a normal state, obtaining a first set of one or more images of the first eye test of the subject, administering a second eye test to the subject and obtaining a second set of one or more images of the second eye test of the subject. The methods further provide for analyzing one or more differences identified between the first set of one or more images and the second set of one or more images.