Modular Pegboard Rehabilitation System With Sensor Feedback
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Solution Overview
Problem
Conventional rehabilitation training systems, such as pegboards, are limited in their configuration and do not adequately consider the specific needs of brain-damaged patients, resulting in insufficient development of various senses and ineffective treatment methods.
Innovation Solution
A rehabilitation training system featuring a main device with unit modules that include sensor and light source modules, a board plate with holes of varying shapes and sizes, and pegs that correspond to these holes, allowing for dynamic training modes and evaluation of training results through light output and sensing data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conventional fixed pegboard is used for rehabilitation training, then the device structure is simple, but the adaptability for different patient needs and training stages is insufficient
Solution Approach 1:
The pegboard is divided into multiple independent modules, each capable of being independently configured. This segmentation allows different regions to serve different training purposes while maintaining overall system flexibility, resolving the contradiction between adaptability and complexity by organizing functionality into manageable units.
Solution Approach 2:
The system transitions from a static fixed pegboard to a dynamic reconfigurable system where modules can be moved, added, or removed based on patient progress and training requirements. This dynamic capability enables the board to adapt to different patient needs without requiring complete system replacement.
2Loss of information
If a conventional pegboard without feedback mechanisms is used, then the device complexity is low, but the capability to provide real-time guidance and evaluate training progress is insufficient
Solution Approach 1:
Sensors are integrated into the pegboard modules to detect peg insertion events and provide real-time feedback to the control system. This feedback mechanism captures training process information, enabling progress tracking and guidance while the control system processes data to provide meaningful feedback to patients.
Solution Approach 2:
Traditional mechanical feedback mechanisms are replaced with electronic sensors and digital processing systems. This substitution enables more precise detection and analysis of training actions, providing richer information about patient progress without significantly increasing physical device complexity.
3Adaptability or versatility
If a conventional pegboard with limited configuration options is used, then the manufacturing cost is low, but the ability to develop various patient senses and provide effective treatment is insufficient
Solution Approach 1:
The modular design enables each module to serve multiple training functions depending on its configuration and positioning. A single module type can be used in different locations and arrangements to create various training scenarios, providing training method variety without requiring completely different components for each function.
Solution Approach 2:
The system enables variation in training parameters such as module positions, spacing, and configurations without changing the fundamental module design. This approach allows customization of training difficulty and type by adjusting parameters rather than manufacturing entirely different components.
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 providing a more engaging and effective method for brain-damaged patients, allowing for customizable difficulty levels and game-like interactions, thereby improving treatment outcomes and patient engagement.
Implementation Method 1
a light source module configured to output light of a specific color
Implementation Method 2
a sensor module configured to detect insertion of a peg into the hole
Data Source
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AI summary
Disclosed is a rehabilitation training apparatus that is used when a stroke patient or the like performs rehabilitation training. A rehabilitation training system includes a main device in which a plurality of unit modules are disposed on a plane at a specific interval; a board plate inserted into or coupled to the main device and including a plurality of holes; and a plurality of pegs that are inserted into the holes of the board plate, wherein each of the unit modules includes a sensor module configured to detect insertion of a peg into the hole, and a light source module configured to output light of a specific color, and if the board plate is inserted into the main device, the light source module provides output light to the outside through the hole of the board plate.