3D Binocular Eye Movement Analysis for Objective Neurological Screening
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Solution Overview
Problem
Existing binocular motor testing modalities are often subjective and practitioner-dependent, lacking efficient methods to detect neurological pathologies such as dyslexia and vertigo.
Innovation Solution
A method for processing binocular motor skills data by stimulating saccades and vergences using a device that acquires eye movements in 3D real space, eliminating erroneous trajectories, and calculating parameters like peak velocity, latency, and dis-conjugation to diagnose pathologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If binocular motor testing is performed using conventional methods, then the testing can be conducted, but the results are subjective and practitioner-dependent, reducing measurement precision
Solution Approach 1:
The patent replaces subjective practitioner assessment with automated computational analysis. A processing unit automatically detects eye movement trajectories, calculates saccade and vergence parameters, and generates diagnostic results, eliminating human subjectivity from the measurement process while maintaining clinical utility.
Solution Approach 2:
The system performs self-diagnostic analysis by automatically processing eye movement data without requiring practitioner interpretation. The processing unit independently identifies trajectories, computes movement parameters, and generates diagnostic conclusions, making the testing system self-sufficient and objective.
2Measurement precision
If eye movement data is acquired without filtering, then all data is captured, but erroneous trajectories reduce measurement precision
Solution Approach 1:
The patent applies preliminary filtering actions by comparing each detected trajectory against expected saccade and vergence patterns before parameter calculation. Trajectories that deviate significantly from expected patterns are automatically identified and excluded, ensuring only valid data proceeds to analysis, thus maintaining precision without manual intervention.
3Measurement precision
If 3D real space eye movement analysis is implemented, then diagnostic accuracy for neurological pathologies improves, but device complexity increases
Solution Approach 1:
The patent segments the complex 3D eye movement analysis into distinct components: conjugate saccade movements and disconjugate vergence movements. By separately analyzing these movement types and their respective parameters, the system achieves comprehensive diagnostic capability while managing computational complexity through structured decomposition of the analysis task.
Data Source
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AI summary
The invention relates to a method of processing data representative of a person's binocular motricity, the method comprising the following steps: - stimulating the binocular motricity of a person by means of a binocular motricity stimulation device (21) configured to specifically stimulate saccades, vergences or a combination of both or of a reading test (22); physical stimuli in 3D real space seen with both eyes naturally (without artifices); - acquiring the movement of the right eye (RE) and the left eye (LE) of a person (P) during said stimulation and, if applicable, a stimulation signal from the binocular motor stimulation device; the method comprising the following steps implemented in a processing unit (3); - determination from the movement of the left eye (LE) and the right eye (RE), of an effective trajectory (Tr1) of the eyes in response to each stimulation, an effective trajectory corresponding to a saccade and/or a vergence movement of the eyes.