Automated Eye Movement Tracking for Cranial Nerve Assessment
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Solution Overview
Problem
Current methods for diagnosing elevated intracranial pressure and assessing cranial nerve function are invasive, unreliable, or require complex calibration processes, limiting their effectiveness in clinical settings.
Innovation Solution
The use of high-resolution automated eye movement tracking to assess central nervous system integrity by analyzing eye movement patterns without spatial calibration, allowing for the detection of impaired cranial nerve function and elevated intracranial pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated eye movement tracking is used to assess central nervous system integrity, then diagnostic accuracy and sensitivity are improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical and invasive diagnostic systems with an automated optical eye movement tracking system. Instead of using invasive intracranial pressure monitors or complex neuroimaging equipment, the system uses cameras and image processing algorithms to track eye movements, thereby reducing device complexity while maintaining or improving diagnostic accuracy.
Solution Approach 2:
The system performs self-calibration and automated analysis without requiring manual intervention. The eye movement tracking system automatically processes the recorded movements, compares them against normative data, and generates diagnostic assessments, eliminating the need for complex manual calibration procedures and reducing operational complexity.
2Reliability
If invasive procedures are used to assess intracranial pressure, then measurement reliability is improved, but patient comfort and ease of operation deteriorate
Solution Approach 1:
The patent uses eye movements as an intermediary marker to indirectly assess intracranial pressure and cranial nerve function. Instead of directly measuring pressure through invasive intracranial monitors, the system tracks eye movement patterns which are affected by intracranial pressure, providing reliable indirect measurement without the discomfort and risk of invasive procedures.
Solution Approach 2:
The system substitutes mechanical invasive monitoring devices with an optical tracking system. By using cameras to record eye movements and analyzing these movements computationally, the system achieves reliable diagnostic information without the physical intrusion and patient discomfort associated with invasive pressure monitoring devices.
3Measurement precision
If chemical dilatation of the pupil is used to assess for papilledema, then diagnostic capability is improved, but patient comfort and ease of operation deteriorate
Solution Approach 1:
The patent replaces chemical dilatation procedures with automated eye movement tracking. Instead of administering chemical agents to dilate pupils for examination, the system uses computational analysis of natural eye movement patterns to assess cranial nerve function and detect papilledema, eliminating the need for chemical substances and associated patient discomfort.
Solution Approach 2:
The system performs diagnostic assessment through automated analysis of eye movements that occur naturally during the tracking process. The system does not require active patient participation beyond watching the stimulus, and the analysis is performed automatically by computer algorithms, eliminating the need for chemical dilatation and its associated discomforts.
4Ease of operation
If papilledema assessment is used to diagnose elevated intracranial pressure, then simplicity of the method is improved, but measurement precision and reliability deteriorate
Solution Approach 1:
The patent replaces the simple but unreliable papilledema assessment with automated eye movement tracking. The system uses computational algorithms to analyze eye movement patterns, providing objective quantitative measures of cranial nerve function that are more precise and reliable than subjective papilledema assessment, while maintaining ease of operation through automation.
Solution Approach 2:
The system incorporates continuous feedback through automated analysis of eye movement patterns. By comparing real-time eye movement data against normative databases and detecting subtle changes in movement patterns, the system provides precise diagnostic information that is more reliable than static papilledema assessment, while the automated feedback loop maintains simplicity of operation.
Data Source
AI summary
A system includes an eye tracker having a camera, the eye tracker being configured and arranged to track an eye movement of a subject, and a processor in communication with the eye tracker, the processor being configured and arranged to create a dataset of the eye movement, generate a plot of the dataset, the plot reflecting a timecourse of eye position versus time, and identify one or more streaking vertical lines in the plot to indicate a deficit in a cranial nerve function.