Modular Pegboard with Sensor and Light Modules for Adaptive Rehabilitation
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Solution Overview
Problem
Conventional pegboards and rehabilitation training systems are inadequate for providing comprehensive rehabilitation training for brain-damaged patients, lacking variety and sensitivity in training methods and tools.
Innovation Solution
A pegboard system with modular units, including sensor and light source modules, that identifies different board plates based on magnet patterns, allowing for customizable training modes and feedback through light output, enabling cognitive training and varying levels of difficulty.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a simple pegboard with fixed patterns is used, then the device complexity is low, but the adaptability for different rehabilitation training needs is insufficient
Solution Approach 1:
The pegboard is divided into multiple replaceable board plates, each with different hole patterns and magnet arrangements. This segmentation allows the system to offer multiple training configurations without increasing the complexity of a single board plate, resolving the contradiction between adaptability and device complexity.
Solution Approach 2:
The main body unit integrates multiple functions including magnet pattern recognition, light source control, and sensor detection. This universal design allows a single device to support various rehabilitation training modes by simply更换 board plates, achieving high adaptability without proportionally increasing overall device complexity.
2Adaptability or versatility
If multiple board plates with different magnet patterns are used, then the adaptability of training programs is improved, but the device complexity increases due to multiple components
Solution Approach 1:
Multiple board plates with different training patterns are merged into a single replaceable component system. Each board plate contains integrated magnets and holes, combining multiple training elements into one component that can be easily swapped, thus providing program variety without significantly increasing the number of separate components.
Solution Approach 2:
The system uses magnetic field detection instead of complex mechanical recognition mechanisms to identify board plate types. The magnet patterns on board plates are detected by sensors in the main body unit, replacing what would otherwise require complex mechanical identification systems, thereby reducing overall device complexity while maintaining adaptability.
3Measurement precision
If conventional pegboards without feedback mechanisms are used, then the ease of operation is high, but the measurement precision of training results is insufficient
Solution Approach 1:
The system incorporates light sources that illuminate specific holes and sensors that detect when pegs are correctly inserted. This feedback mechanism provides real-time measurement of training results, enabling precise assessment of patient performance while maintaining ease of operation through automatic detection and visual guidance.
Solution Approach 2:
The light sources emit different colors to indicate various training states and provide visual feedback. This color-changing mechanism enhances the measurement precision by providing clear, intuitive visual cues about correct insertion positions and training progress, while keeping the operation simple for patients.
4Adaptability or versatility
If a fixed pattern pegboard is used, then the manufacturing precision requirements are low, but the adaptability for cognitive training is insufficient
Solution Approach 1:
The system segments the training patterns into separate replaceable board plates rather than incorporating all patterns into a single fixed board. This approach reduces the manufacturing precision requirements for each individual board plate while maintaining high cognitive training adaptability through the variety of available patterns.
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
Enhances rehabilitation training by allowing users to engage in interactive and adaptive exercises that improve cognitive functions such as location memory, sequence memory, and placement relations, making the training process more engaging and effective.
Implementation Method 1
a sensing unit configured to sense the board plate and identify a type of the board plate
Implementation Method 2
multiple light source modules configured to output light to the multiple receiving portions
Implementation Method 3
multiple sensor modules configured to sense whether the multiple pegs are inserted into the multiple receiving portions
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
A pegboard of the present disclosure includes: a main device including multiple unit modules; a board plate including multiple receiving portions; and multiple pegs to be inserted into the multiple receiving portions, and the multiple unit modules include multiple sensor modules configured to sense whether the multiple pegs are inserted into the multiple receiving portions and multiple light source modules configured to output light to the multiple receiving portions.