Adaptive Myopia Control Solution Switching by Efficacy
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Solution Overview
Problem
Existing myopia control solutions have varying efficacy over time and may not be optimally effective for individual subjects, necessitating a system to determine the appropriate moment for modifying or changing these solutions to maintain optimal myopia control.
Innovation Solution
A system and method using a database and processors to evaluate the efficacy of current and alternative myopia control solutions based on criteria such as time and subject activity, determining an appropriate moment for modifying or changing the initial solution to ensure optimal efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an initial myopia control solution is applied to a subject, then myopia progression is initially controlled, but the efficacy of the solution decreases over time
Solution Approach 1:
The system dynamically adjusts the myopia control solution based on temporal evolution of efficacy. It monitors the decreasing effectiveness over time and automatically transitions from an initial solution to alternative solutions when efficacy thresholds are breached, making the control system adaptive rather than static.
Solution Approach 2:
The system implements a feedback mechanism by continuously evaluating the efficacy of the current myopia control solution and comparing it against alternative solutions. When the current solution's efficacy falls below that of alternatives, the system triggers a transition to a more effective solution, creating a closed-loop control system.
2Reliability
If the myopia control solution is changed frequently, then optimal efficacy is maintained, but the complexity of management increases
Solution Approach 1:
The system performs self-evaluation and self-adjustment by automatically monitoring its own efficacy and initiating transitions to alternative solutions when needed. This reduces the burden on external management while maintaining optimal performance through autonomous decision-making based on predefined efficacy criteria.
Solution Approach 2:
The system pre-evaluates alternative myopia control solutions before the current solution becomes completely ineffective. By proactively identifying and preparing alternative solutions while the current one is still partially effective, the system ensures seamless transitions and maintains continuous optimal control.
3Measurement precision
If monitoring and evaluation systems are implemented to track solution efficacy, then optimal control moments are identified, but the system complexity and resource requirements increase
Solution Approach 1:
The system combines multiple functions into a single integrated platform: it stores myopia control solutions, evaluates their efficacy, compares alternatives, determines transition moments, and manages the entire control strategy. This multi-functional approach reduces overall system complexity while maintaining high measurement precision through centralized processing.
Data Source
AI summary
A system for determining an appropriate moment for modifying or changing an initial myopia control solution used by a myopic subject at an initial time having a database of available myopia control solutions and data relative to the evolution of the efficacy of each myopia control solution with criterion including determining the value of said criterion at an ulterior time, determining, based on this value, the efficacy of this initial myopia control solution and the efficacy of other myopia control solutions of said database at this ulterior time, comparing the efficacy of said initial myopia control solution and the efficacy of other myopia control solutions of said database determined for said ulterior time, and when the efficacy of said initial myopia control solution is lower than the efficacy of at least one of said other myopia control solutions at said ulterior time, determining appropriate moment depending on said ulterior time.