Automated Contact Lens Selection System
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Solution Overview
Problem
The existing methods for selecting a contact lens require extensive calculations and subjective visual impressions, necessitating lengthy test series and requiring trained personnel, as different manufacturers have varying adaptation rules and dimensions, making the process time-consuming and prone to measurement inaccuracies.
Innovation Solution
An ophthalmological device combining a keratometer, autorefractometer, and data processing means determines refractive power and corneal topography, calculates contact lens data, and selects a suitable lens from a database, simplifying the process by using objective measurement data and accounting for manufacturer-specific rules and material properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calculation and selection methods are used, then contact lens selection can be performed, but the process is time-consuming and requires trained personnel
Solution Approach 1:
The patent replaces the manual mechanical calculation process with an automated computer-based system. The device automatically processes refraction data and topography data through stored calculation algorithms to determine contact lens parameters, eliminating the need for manual calculations by examining personnel while maintaining selection accuracy.
Solution Approach 2:
The system performs self-service by automatically selecting contact lenses based on measured eye parameters. The device compares calculated target contact lens data with available contact lens data in its database and autonomously identifies the most suitable contact lens, reducing dependence on examiner expertise and training.
2Reliability
If iterative testing with multiple contact lenses is performed, then suitable contact lens can be selected, but the process becomes lengthy and complex
Solution Approach 1:
The system performs preliminary calculations to determine target contact lens data before actual contact lens selection. By pre-calculating the ideal contact lens parameters based on refraction and topography data, the system eliminates the need for iterative testing of multiple contact lenses, simplifying the selection process while ensuring reliability.
Solution Approach 2:
The system uses feedback from objective measurement data (refraction and topography) to automatically adjust and determine the optimal contact lens parameters. The calculated target contact lens data is compared with available contact lens data, and the system iteratively refines the selection based on this feedback without requiring subjective patient input during the calculation phase.
3Measurement precision
If manufacturer-specific adaptation rules are considered, then contact lens selection accuracy improves, but calculation complexity increases
Solution Approach 1:
The system is designed with universal functionality to handle multiple manufacturer-specific adaptation rules within a single calculation framework. The device can process different calculation modes and adapt to various manufacturer rules without requiring separate systems, managing complexity through a unified multi-functional architecture.
Data Source
AI summary
The method involves calculating contact lens data, by using a data processor (16), based on refraction data and topographic data obtained by an auto refractometer (14) and a keratometer (12). A contact lens is selected from a database (30) of an opthalmological device (10) based on the calculated contact lens data. The calculated contact lens data ic compared with contact lens data contained in the database. Measured data, the calculated lens data and lens data of the selected contact lens are output using an output apparatus (40). An independent claim is also included for an opthalmological device comprising a keratometer.