Orthosis Device with Wire Guide Structure for Real-Time Motion Control
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Solution Overview
Problem
Current orthosis devices for individuals with spinal cord injuries and neurological diseases are often not ergonomic, uncomfortable, and fail to provide effective motor movement due to pre-programmed routines, high manufacturing costs, and limitations in real-time control and muscle atrophy, leading to inadequate functionality and usability.
Innovation Solution
An orthosis device comprising sensors to detect motion signals, a control unit for real-time signal processing and classification, and a servo motor actuator to provide controlled movement, with a support structure facilitating flexion, expansion, and relaxation states, allowing for comfortable and functional motor movement without time delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-programmed routines are used in orthosis devices, then device complexity is reduced, but movement control accuracy and responsiveness deteriorate
Solution Approach 1:
The orthosis device uses the user's own muscle signals (sEMG) to control movement, eliminating the need for complex pre-programmed routines. The system automatically detects muscle intent and translates it into actuator commands, making the control system adaptive to each user's specific muscle patterns while maintaining simplicity.
Solution Approach 2:
The device incorporates real-time feedback loops where sensors continuously monitor muscle signals and joint positions, and the control unit adjusts actuator commands dynamically. This closed-loop control ensures accurate movement execution without requiring complex pre-programming, as the system adapts to real-time physiological feedback.
2Measurement precision
If high-density electrode configurations are used, then signal recognition efficiency is improved, but hardware requirements and processing cost increase
Solution Approach 1:
The system uses a selective approach to electrode placement, focusing on specific muscle groups that are most relevant for the user's residual voluntary contractions. Rather than deploying high-density arrays across all muscles, the system strategically places electrodes on key muscles that provide the most informative signals for control, reducing hardware complexity while maintaining recognition efficiency.
Solution Approach 2:
The control system applies different processing strategies to different electrode signals based on their quality and relevance. High-quality signals from well-placed electrodes receive more sophisticated processing, while lower-quality signals use simplified processing, optimizing the balance between recognition accuracy and computational cost.
3Ease of operation
If low-density electrode systems are used, then ease of dressing and cost are improved, but signal recognition efficiency deteriorates
Solution Approach 1:
The system compensates for low electrode density by optimizing other parameters: using advanced signal processing algorithms, selecting optimal electrode placement locations based on individual anatomy, and adjusting filtering and feature extraction parameters to maximize information extraction from limited channels. This allows low-density systems to achieve adequate recognition efficiency for practical use.
4Adaptability or versatility
If orthosis devices are designed for general use, then adaptability is improved, but ergonomic comfort and task-specific performance deteriorate
Solution Approach 1:
The orthosis device is designed as a modular system with separate functional components that can be independently adjusted. The support structure, actuators, and sensor placement can be customized for different users and tasks, allowing the device to adapt to specific ergonomic requirements while maintaining a general platform architecture.
Solution Approach 2:
The device incorporates adjustable and reconfigurable elements that can be dynamically adapted to different users and tasks. The control parameters, electrode placement, and actuator configurations can be modified based on individual needs, providing task-specific optimization without requiring completely different device designs.
Data Source
AI summary
The present disclosure relates to an orthosis device for providing motor movement to a body part. The device comprises a plurality of sensors to sense a first set of motion signals, a control unit, at least one actuator, and a support structure. The support structure comprises a guide structure comprising a plurality of wires. The control unit generates a second set of motion signals and provides the same to the at least one actuator. The at least one actuator generates a force for movement of the plurality of wires of the guide structure of the support structure. The movement of the plurality of wires help in motor movement of the body part.


