Microsaccade Eye Tracking for Early Neurological Disease Detection
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Solution Overview
Problem
Current diagnostic tools for neurological diseases such as Alzheimer's Disease and mild cognitive impairment are inadequate for early detection and monitoring disease progression and therapeutic response, lacking non-invasive and effective methods to analyze eye movements.
Innovation Solution
A system and method for analyzing microsaccades, including parameters like direction, velocity, magnitude, and duration, to detect neurological diseases by comparing these dynamics with healthy controls and generating diagnostic reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional diagnostic tools are used for neurological diseases, then diagnosis can be performed, but early detection and monitoring of disease progression is inadequate
Solution Approach 1:
The patent changes the diagnostic parameter from traditional cognitive tests to microsaccade eye movement parameters. By measuring subtle eye movement characteristics (duration, velocity, amplitude, direction) that differ between healthy individuals and those with neurological diseases, the system achieves early detection with high diagnostic accuracy before cognitive symptoms become apparent.
2Measurement precision
If invasive diagnostic methods are used, then diagnostic accuracy may improve, but patient comfort and ease of operation deteriorates
Solution Approach 1:
The patent replaces invasive mechanical or surgical diagnostic procedures with a non-invasive optical eye tracking system. By using cameras and image processing to capture and analyze microsaccade movements, the system maintains high diagnostic accuracy while completely eliminating physical intrusion into the patient's body, thereby ensuring patient comfort and ease of operation.
3Measurement precision
If comprehensive eye movement analysis is performed, then diagnostic capability improves, but system complexity increases
Solution Approach 1:
The patent extracts and focuses specifically on microsaccade parameters from the complex spectrum of eye movements. By isolating and analyzing only the relevant microsaccade characteristics (duration, velocity, amplitude, direction) rather than attempting to process all eye movement types, the system achieves comprehensive diagnostic capability while maintaining manageable system complexity through targeted parameter selection.
Data Source
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AI summary
A system for analyzing eye movements of a subject. The system comprises an eye tracking device configured to track eye movements of the subject, a display, and a processor in communication with the eye tracking device and the display. The processor is configured to cause the display to present a visual stimulus to the subject, to cause the eye tracking device to track eye movements of the subject, and to identify fixational eye movements from the tracked eye movements, wherein the fixational eye movements include one of microsaccades and square wave jerks. The processor is further configured to analyze the fixational eye movements of the subject and to determine at least one of a presence, an absence, a severity, a progression, and a response to treatment of a neurological disease based on the analyzed fixational eye movements, wherein the neurological disease being one of Alzheimer's Disease and Mild Cognitive Impairment.