Visual Field Mapping via Gaze Deviation Analysis
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Solution Overview
Problem
Conventional visual field mapping methods are either time-consuming or insensitive to minor defects and cannot be reliably performed on individuals who cannot concentrate or maintain a fixed gaze position, making them ineffective for accurate visual defect determination.
Innovation Solution
A method that determines the quality of view in a visual field by analyzing deviations in gaze position relative to a moving stimulus, using recursive neural networks to identify visual dysfunctions, and interpolating gaze positions to account for blinking and inaccurate gazing, allowing for quick and accurate mapping without requiring precise gazing or high concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional visual field mapping methods (SAP or FDT) are used, then visual field defects can be detected, but the measurement process is time-consuming and requires accurate gazing and high concentration from the patient
Solution Approach 1:
The patent replaces the mechanical/behavioral system requiring precise patient gazing and concentration with an automated eye-tracking system that measures gaze position deviations objectively. The system uses eye-tracking technology to capture natural eye movements and deviations from the stimulus position, eliminating the need for patients to maintain fixed gaze or concentrate highly, while still achieving accurate visual field mapping through automated analysis of gaze deviation patterns
Solution Approach 2:
The system allows patients to perform the measurement task naturally without requiring trained cooperation. Patients simply follow a moving stimulus with their eyes in normal viewing conditions, and the system automatically captures and analyzes their natural gaze deviations. This self-service approach eliminates the need for complex patient instructions and maintains measurement accuracy while reducing time and concentration requirements
2Measurement precision
If conventional visual field mapping methods are used, then visual field defects can be detected, but the patient must maintain fixed gaze position and high concentration throughout the measurement
Solution Approach 1:
The patent transitions from a static measurement approach requiring fixed gaze to a dynamic approach where the stimulus moves naturally across the visual field and the patient's eyes follow it naturally. The system captures dynamic gaze deviations from the stimulus position throughout the measurement, allowing patients to operate in a natural, relaxed state while the system extracts accurate visual field information from the dynamic eye movement patterns
Solution Approach 2:
The measurement system leverages the patient's natural eye-following behavior without requiring trained cooperation or concentration. Patients instinctively follow the moving stimulus with their eyes, and the system automatically records and analyzes their natural gaze deviations. This approach makes the measurement easy to perform while maintaining diagnostic accuracy through objective analysis of eye movement patterns
3Reliability
If conventional visual field mapping methods are used, then visual field map can be obtained, but the method is insensitive to minor visual field defects
Solution Approach 1:
The patent applies local quality analysis by examining gaze deviation patterns at specific locations in the visual field. Instead of requiring global fixation stability, the system analyzes local deviations from the stimulus position at each tested location, allowing detection of minor defects by identifying abnormal gaze deviation patterns at specific visual field locations even when overall fixation is imperfect
Solution Approach 2:
The system uses feedback from measured gaze deviation patterns to identify and locate visual field defects. By continuously monitoring where the patient's gaze deviates from the stimulus position and analyzing these deviation patterns, the system provides feedback information that reveals the presence and location of visual defects, including minor ones that would be missed by conventional threshold-based methods
Data Source
AI summary
For measuring quality of view over a visual field of view of an eye, during a measuring period, deviations between gaze positions and associated stimulus positions where the stimulus to be followed was displayed when the gaze position was detected and magnitudes of the registered deviations arte determined. For each field portion of a map of a visual field of view, quality of view is determined in accordance with a quality of view estimates of associated ones of the registered deviations of which the associated stimulus positions are located relative to the gaze position so that the associated stimulus positions are in that field portion. For each of the associated ones of the registered deviations, the quality of view is estimated in accordance with the magnitude of that associated one of the registered deviations and with magnitudes of at least preceding or succeeding ones of the registered deviations.