Eye Movement Monitoring via Pupil Quadrant Analysis
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Solution Overview
Problem
Current methods for diagnosing and treating benign positional paroxysmal vertigo (BPPV) are limited by the subjective and qualitative nature of eye movement observation, lack of data storage, and complexity of existing devices, which hinder accurate localization and repositioning of otoliths in semicircular canals.
Innovation Solution
An eye movement monitoring method and device that collect and analyze pupil movement data using video image acquisition, analysis, and storage units, dividing the pupil area into quadrants to calculate center coordinates and display movement in graphical form, enabling objective and quantitative analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection by doctor is used for eye movement observation, then the method is simple and requires no special equipment, but the measurement precision is poor and subjective judgment is involved
Solution Approach 1:
The patent replaces the mechanical/visual inspection method with an optical-electrical system. A camera captures eye movement images, and an processor analyzes the pixel coordinates to calculate eye movement vectors, substituting the doctor's visual inspection with an automated image processing system that provides precise quantitative data.
Solution Approach 2:
The patent introduces an intermediary system consisting of a camera and processor between the patient's eye movement and the doctor's diagnosis. The camera captures the eye movement as images, the processor converts these images into quantitative movement data, and then presents this objective data to the doctor for diagnosis, serving as an intermediary that bridges subjective observation and objective measurement.
2Quantity of substance
If naked eye observation is used, then the device is simple, but the quantity of data obtained is insufficient for quantitative analysis
Solution Approach 1:
The patent implements continuous image acquisition through the camera system, capturing eye movement frames at regular intervals during the examination. This continuous data collection provides a comprehensive time series of eye movement positions, enabling quantitative analysis of movement patterns, duration, and frequency that cannot be obtained through intermittent naked eye observation.
Solution Approach 2:
The automated image processing system continuously extracts quantitative data from each image frame, calculating pixel coordinates, movement vectors, and movement parameters. This automated continuous data extraction provides abundant quantitative information for statistical analysis and research, replacing the limited qualitative observations possible with naked eye inspection.
3Reliability
If conventional eye movement observation method is used, then the device structure is simple, but the reliability of diagnosis is reduced due to subjective judgment
Solution Approach 1:
The system provides objective feedback to the doctor through quantitative eye movement data. The processor calculates precise movement parameters and presents them as numerical results that can be reliably used for diagnosis. This objective feedback loop eliminates the variability and subjectivity inherent in visual inspection, improving diagnostic reliability through reproducible, quantifiable measurements.
Solution Approach 2:
The patent replaces the subjective visual inspection mechanism with an objective automated measurement system. The camera and processor work together to objectively measure eye movement parameters without human bias, providing reliable, reproducible data that enhances diagnostic accuracy and reduces the variability associated with different observers.
4Loss of information
If image data collection is implemented, then data storage becomes possible, but the device complexity increases
Solution Approach 1:
The patent creates digital copies of the eye movement images and associated data through the camera and storage system. These digital copies preserve the complete eye movement information in a format that can be stored, retrieved, and analyzed later. The copying process enables permanent retention of diagnostic information without requiring complex analog recording systems.
Solution Approach 2:
The system substitutes mechanical or analog data storage methods with digital storage technology. The camera captures images as digital signals, which are then stored in a database or file system. This digital substitution provides efficient, reliable, and permanent information retention with minimal complexity compared to analog alternatives.
Data Source
AI summary
An apparatus and method for monitoring the movement of eyeball comprises collecting an image frame of pupil; extracting a pupil pixel set (S); extracting a boundary value of the pupil pixel set; setting a center point based on the boundary value and dividing the pupil pixel set into four quadrant sets (S1, S2, S3 and S4); calculating the coordinate of cross points of the two straight lines and traversing points in the four quadrants, wherein the cross points form a pupil center coordinate set (S5); and calculating an average value of horizontal and vertical directions according to the pupil center coordinate set (S5).