Wearable Myopia Risk Indicator Using Central Peripheral Distance Sensors
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Solution Overview
Problem
Current techniques lack an effective method to determine the risk of myopia onset and progression, particularly due to eye growth, which is essential for early prevention measures.
Innovation Solution
A wearable device equipped with distance sensors to measure distances between the user and objects in central and peripheral vision zones, coupled with a control unit that processes these values to calculate a risk indicator for myopia.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distance sensors are used to measure central and peripheral vision distances, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The wearable device segments the vision field into central and peripheral zones, using separate distance sensors for each zone. This segmentation allows independent measurement of distances in different visual fields, enabling the calculation of peripheral defocus without requiring a single complex sensor system.
Solution Approach 2:
The wearable device is designed as a multi-functional system that not only measures distances but also processes data to determine myopia risk indicators. The device integrates sensing, calculation, and assessment functions into a single wearable unit, making it a universal tool for both measurement and diagnostic purposes.
2Measurement precision
If multiple distance sensors are deployed to cover central and peripheral vision zones, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The wearable device operates autonomously by automatically capturing distance measurements from multiple sensors and performing the calculations for peripheral defocus and myopia risk assessment without requiring user intervention. The system self-manages the complex operations of coordinating multiple sensors and processing the data, making it easy to use despite its technical complexity.
Solution Approach 2:
The device is pre-configured with the optical parameters of the user's eye (such as pupil distance and lens curvature) before measurements are taken. This preliminary setup allows the device to automatically perform accurate calculations without requiring the user to input these parameters during operation, simplifying the user experience.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively determines the risk of myopia by analyzing the mismatch between central and peripheral distance values, providing a numerical or binary risk indicator that can inform early prevention strategies.
Implementation Method 1
at least one distance sensor configured to determine at least a first distance value indicative of a distance between the wearable device and an object located in a central vision zone of the user and a second distance value indicative of a distance between the wearable device and an object located in a peripheral vision zone of the user
Data Source
AI summary
A system is provided for determining a risk indicator for myopia. The system comprises a wearable device configured to be attached to a body of a user. The wearable device comprises at least one distance sensor configured to determine at least a first distance value indicative of a distance between the wearable device and an object located in a central vision zone of the user and a second distance value indicative of a distance between the wearable device and an object located in a peripheral vision zone of the user. The system further comprises a control unit configured to determine, based on the first distance value and the second distance value, a risk indicator for myopia. Further, a method and a computer program product are provided.