Perimeter Visual Field Database Segmentation for Glaucoma Diagnosis
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Solution Overview
Problem
Existing devices for storing measurement results of visual field tests do not statistically collect data based on eye conditions, such as normal eyes and eyes with glaucoma, making it impossible to evaluate and diagnose test eyes effectively.
Innovation Solution
A perimeter device with perimetry means, measurement database memory, normal eyes data judging means, and database control means to store and judge visual field measurement results, differentiate between normal eyes and glaucoma databases, and compute sensitivity distribution and visual angle-sensitivity distribution models to determine the usability of measurement results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement results are simply collected for each test eye without statistical classification, then data storage is simple, but diagnostic accuracy and evaluation capability are insufficient
Solution Approach 1:
The patent segments the measurement database into multiple classification categories including normal eyes database, glaucoma eyes database, and suspected glaucoma eyes database. This segmentation allows for statistically meaningful comparisons by grouping similar cases together, thereby improving diagnostic accuracy without overwhelming complexity through systematic categorization of measurement results based on diagnostic outcomes
Solution Approach 2:
The patent changes the parameter organization by storing not only measurement values but also diagnostic result parameters (normal, glaucoma, suspected glaucoma) and patient attribute parameters (age, sex, visual acuity, etc.). This parameter expansion enables statistical analysis and pattern recognition across classified groups, transforming raw data into diagnostically valuable information
2Adaptability or versatility
If measurement results are classified by eye condition into separate databases, then diagnostic evaluation capability is improved, but data management complexity increases
Solution Approach 1:
The patent creates segmented databases for different eye conditions (normal, glaucoma, suspected glaucoma) that can be independently managed and queried. Each segmented database serves specific diagnostic purposes, allowing the system to adapt to different evaluation needs while maintaining organized data structures that reduce management complexity through clear separation of cases
Solution Approach 2:
The measurement database is designed with multi-functionality to serve both storage and statistical analysis purposes. The same database structure supports multiple diagnostic evaluation capabilities including sensitivity distribution analysis, visual angle-sensitivity distribution modeling, and comparative studies across different eye conditions, reducing the need for separate specialized systems
3Measurement precision
If sensitivity distribution data and visual angle-sensitivity distribution models are computed and stored, then measurement result evaluation is enhanced, but processing time and computational resources increase
Solution Approach 1:
The patent computes and stores sensitivity distribution data and visual angle-sensitivity distribution models in advance as preprocessed reference information. By performing these computationally intensive calculations beforehand and storing the results, the system avoids repeating complex computations during each diagnostic evaluation, thereby reducing real-time processing time while maintaining high evaluation accuracy
Solution Approach 2:
The stored sensitivity distribution data and visual angle-sensitivity distribution models serve as feedback references for evaluating new measurement results. The system compares new measurements against these precomputed models to quickly assess whether findings are within normal ranges or indicate pathology, enabling rapid evaluation without extensive real-time computation
Data Source
AI summary
The perimeter (2), which has a perimetry means (13) that measures the visual field of a test eye and outputs the results thereof as measurement results (MR), is configured by comprising: a measurement database memory (17) wherein multiple measurement results of previous visual field measurements are stored as a measurement database (MDB) in a form that is divided into a database (DB1) pertaining to normal eyes and a database (DB2) pertaining to eyes with glaucoma; a means (16) for assessing whether or not the measurement results (MR) for the test eye can be used as measurement results for normal eyes; and a means (15) that, when it is determined that the measurement results can be used as measurement results for normal eyes, adds the measurement results to the database (DB1) pertaining to normal eyes along with database search attribute data (data such as the subject's age, sex, race, visual acuity, refractive index, diagnosis, residence, date and time of examination, etc.).