Rehabilitation Robot Personalizes Exercise via Movement Recording
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current rehabilitation robots struggle to provide personalized exercise movements tailored to individual human subjects, often requiring mechanical adjustments and relying on algorithms that do not fully account for unique anthropometric parameters, leading to unsatisfactory exercise parameters and complex programming tasks.
Innovation Solution
A computer-controlled, motorized exercise device with an articulated system and torque/force measuring system that learns personalized exercise movements by actively accompanying muscle-propelled movements, allowing for real-time adjustments to avoid resistance and store customized exercise trajectories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If algorithmically determined exercise parameters are used based on anthropometric data, then exercise personalization is improved, but the exercise parameters remain unsatisfactory and do not fully account for unique individual characteristics
Solution Approach 1:
The system records and stores actual exercise movements performed by the subject, creating a digital template that can be reproduced. This copied movement data captures the unique characteristics of each subject's exercise performance, allowing the system to personalize exercises based on real performance data rather than theoretical algorithms alone
Solution Approach 2:
The system provides visual feedback by displaying the recorded movement trajectory to the subject, enabling them to see their actual performance and make adjustments. This feedback loop allows continuous refinement of exercise parameters based on real-world performance data
2Adaptability or versatility
If mechanical adjustments are made to the robotic arms to accommodate anthropometric parameters, then device adaptability is improved, but device complexity and programming difficulty increase
Solution Approach 1:
The system replaces mechanical adjustments and complex programming with an automated recording and reproduction system. Instead of manually adjusting robotic arms or programming exercise parameters, the system automatically captures movement data and reproduces it, simplifying the user interface while maintaining high adaptability
Solution Approach 2:
The system performs self-programming by automatically recording and storing exercise movements without requiring external programming input. The device adapts to each subject's unique movements autonomously, eliminating the need for complex programming tasks
3Ease of operation
If standard exercise trajectories are used for all subjects, then device operation is simplified, but exercise efficacy is reduced due to lack of personalization
Solution Approach 1:
The system transitions from static, pre-programmed exercise trajectories to dynamic, subject-specific movement patterns. By recording and reproducing each subject's actual exercise movements, the system adapts the exercise trajectory in real-time to match individual performance characteristics, maintaining both simplicity and efficacy
Data Source
AI summary
Exercise robot suitable for rehabilitation and methods of its operation are provided. In particular a method in which the exercise robot learns an exercise movement on the basis of movements conducted by the aid of a human assistant holding the leg of a patient and moving the leg with muscular form to conduct an exercise movement. The rehabilitation robot actively accompanies the exercise movement in an active compliance mode and records the movement so as to determine an exercise movement stored in the control unit of the device. The rehabilitation robot can then produce the determined exercise in an exercise mode.