Bilateral Arm Training With Adaptive Trajectory Assistance
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Solution Overview
Problem
Current stroke rehabilitation methods focus on unilateral training of the paretic arm, leading to compensatory techniques that do not resolve the impairment and are not effective for tasks requiring bilateral arm use, especially in aging adults.
Innovation Solution
A bilateral arm training system with sensory feedback and automated assistance mechanisms, including a handle, sensor assembly, and display, to provide objective performance assessment and adaptive training based on deviations from a target trajectory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If unilateral training of the paretic arm is used, then the training protocol is simple and focused, but it leads to compensatory techniques and does not improve tasks requiring bilateral arm use
Solution Approach 1:
The device merges training of both arms into a single integrated system, requiring bilateral coordination to operate. Both handles must be moved simultaneously in opposite directions along their respective paths, combining unilateral training approaches into a coordinated bilateral exercise that improves functional tasks requiring both arms.
Solution Approach 2:
The system dynamically adjusts the training protocol by providing automated assistance only when deviation from target trajectory exceeds the tolerance band. The level of assistance is not static but adapts based on real-time performance, making the training progressively more challenging while maintaining effectiveness.
2Extent of automation
If automated assistance mechanisms are added to BATRAC, then repetitive training can occur without human intervention, but device complexity increases
Solution Approach 1:
The system provides self-service automated assistance through the handle drive assembly that automatically detects when the handle position deviates from the target trajectory and applies corrective force without human intervention. The device monitors its own performance through sensors and autonomously adjusts assistance levels based on real-time feedback.
Solution Approach 2:
The automated assistance mechanism relies on continuous feedback from sensors that track handle position along the path. This feedback loop enables the system to detect deviations from the target trajectory and trigger appropriate assistance forces, creating a closed-loop control system that operates autonomously.
3Measurement precision
If instrumentation is added to measure patient performance, then objective progress tracking is enabled, but device complexity increases
Solution Approach 1:
The system replaces subjective clinical assessment with objective sensor-based measurement. Sensors mounted on the handle and path provide precise digital data about handle position, velocity, and trajectory adherence, substituting manual observation and judgment with automated, quantifiable metrics that can be objectively tracked over time.
4Manufacturing precision
If a tolerance band is established around the target trajectory, then automated assistance can be precisely controlled, but measurement and control complexity increases
Solution Approach 1:
The system applies assistance only partially, specifically when the handle position deviates beyond the tolerance band from the target trajectory. Instead of providing continuous assistance, the system intervenes only when necessary, allowing full range of motion and natural movement when within acceptable limits while providing corrective force only when deviation exceeds the defined threshold.
Data Source
AI summary
A method and apparatus for automated arm training includes at least one therapeutic device that includes a handle, a sensor assembly, and a display. The handle is configured to move along a path. The sensor assembly is configured to provide a measured time series made up of multiple handle location measurements at a corresponding multiple of measured time instances. The display is configured to present an image based on the measured time series. A robot motor can be configured to keep the handle moving near a tolerance of a target trajectory.