Automated Stroke Rehabilitation System with Movement Benchmarking
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Solution Overview
Problem
Victims of brain injury, such as stroke, face challenges in regaining function due to irreversible nerve damage, as traditional rehabilitation therapies are costly, lack motivation, and fail to detect minor progress, leading to atrophy and loss of motor skills.
Innovation Solution
A system using digital sensors, such as the CyberGlove, records and compares movement benchmarks between unaffected and affected limbs, providing automated scoring and feedback, enabling patients to track progress and maintain motivation through graphical displays and remote medical professional evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional repetitive therapy is used to regain function, then nerve growth and healing occur, but progress is difficult to detect and patient motivation is lost
Solution Approach 1:
The system implements automated feedback by capturing movement data from sensors, comparing it to benchmark movements, and providing immediate visual feedback to the patient. This allows both patients and therapists to observe incremental progress that would otherwise be undetectable, maintaining motivation and enabling data-driven therapy adjustments.
Solution Approach 2:
The patent replaces manual visual assessment by therapists with an automated computer-based measurement system using sensors and image processing. This substitution enables objective, precise, and consistent progress tracking without relying on human perception limitations.
2Reliability
If repeated professional therapy sessions are conducted, then therapy quality is maintained, but cost becomes prohibitive for most patients
Solution Approach 1:
The system enables patients to conduct therapy independently at home using automated software that provides real-time feedback and progress tracking. This self-service capability eliminates the need for continuous professional supervision while maintaining therapy quality through objective measurement and immediate feedback, significantly reducing costs.
Solution Approach 2:
The patent introduces a computer-based measurement and feedback system as an intermediary between the patient and therapist. This intermediary provides automated progress tracking and feedback, allowing therapists to review objective data remotely and adjust therapy plans without requiring frequent in-person sessions.
3Reliability
If intensive repetitive therapy is performed, then function recovery is achieved, but the process is boring and slow leading to patient dropout
Solution Approach 1:
The system provides immediate visual feedback showing patients their progress by comparing their movements to benchmark movements. This feedback transforms the boring repetitive process into an engaging activity where patients can see incremental improvements, maintaining motivation throughout the intensive therapy required for recovery.
4Ease of operation
If manual assessment by physical therapist is used, then personal guidance is provided, but measurement precision of minor progress is insufficient
Solution Approach 1:
The patent replaces manual visual assessment with an automated sensor-based measurement system that captures precise movement data. This system can detect minor progress and subtle movement differences that are imperceptible to human therapists, providing objective and highly precise progress measurement while allowing therapists to focus on personalized therapy planning.
Data Source
AI summary
A method for the treatment of paralysis caused by injury to the brain. A set of movements by a healthy extremity is recorded and stored in a computer. Movements made by an affected extremity are recorded and compared to the standard provided by the healthy extremity. A score based on the similarity of the movement is reported to the user to aid in tracking progress. A similar system may also be used to detect and track the progress of degenerative diseases by comparing past movements to current movements.