Rehabilitation System Spasticity Detection Training Adjustment
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Solution Overview
Problem
Existing rehabilitation systems struggle to adapt to changes in a patient's condition during training, making it difficult to adjust the training intensity when the patient's condition improves or deteriorates.
Innovation Solution
A rehabilitation system that includes a brain activity measuring device, a motion measuring device, a spasticity state determiner, and an updater, which determines the spasticity state based on brain activity and motion state measurements and updates the training intensity accordingly, allowing for real-time adjustments to the training program.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the training amount is fixed based on pre-training brain wave analysis, then the rehabilitation program can be personalized, but the system cannot adapt to changes in patient condition during training
Solution Approach 1:
The rehabilitation system transitions from a static training program to a dynamic one by continuously monitoring brain waves and motion states during training. The control device dynamically adjusts training parameters based on real-time spasticity state determinations, enabling the system to adapt to patient condition changes without requiring complex manual intervention.
Solution Approach 2:
The system implements a feedback mechanism where brain wave measurements and motion state data are continuously fed back to the control device. Based on this feedback, the spasticity state is determined and used to adjust the training amount, creating a closed-loop control system that adapts to patient needs during rehabilitation.
2Productivity
If the training intensity is increased to improve rehabilitation effectiveness, then better outcomes can be achieved, but the risk of overloading the patient increases
Solution Approach 1:
The system uses real-time feedback from brain wave and motion state monitoring to detect spasticity conditions. When spasticity is detected, the control device automatically reduces training intensity to prevent overloading, while maintaining high rehabilitation effectiveness during appropriate training phases.
Solution Approach 2:
The system dynamically changes training parameters such as intensity and duration based on the determined spasticity state. By adjusting these parameters in real-time, the system optimizes rehabilitation effectiveness while ensuring patient safety through automatic intensity reduction when spasticity occurs.
Data Source
AI summary
A rehabilitation system includes: a brain activity measuring device which measures brain activity of a patient who carries out training based on a set amount of training; a motion measuring device which measures a motion state of a paralyzed site of the patient; a spasticity state determiner which determines a spasticity state based on the brain activity and the motion state; an updater which updates the amount of training based on a result of determination by the spasticity state determiner; and a presentation device which presents the updated amount of training to the patient.