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A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
Published on: April 12, 2016
Autogenic EMG-controlled functional electrical stimulation for ankle dorsiflexion control.
1Department of Medical Engineering, Eulji University, Sungnam, Gyeonggi, South Korea.
Journal of Neuroscience Methods
|August 18, 2010
Summary
This study introduces a new functional electrical stimulator (aEMGcFES) that uses adaptive filtering to cancel stimulation artifacts in real-time, enabling natural muscle control for potential rehabilitation applications.
Area of Science:
- Biomedical Engineering
- Neurorehabilitation
- Assistive Technology
Background:
- Functional Electrical Stimulation (FES) systems often face challenges with residual stimulation artifacts (RSA).
- Closed-loop FES systems aim for more natural and continuous control of paretic muscles, particularly in the lower extremities.
- Existing FES technologies require advancements for stable, real-time artifact cancellation.
Purpose of the Study:
- To develop and test a novel system for stable, real-time cancellation of residual stimulation artifacts (RSA).
- To create a closed-loop functional electrical stimulator (aEMGcFES) using surface electrodes for natural muscle control.
- To assess the system's potential for clinical application in gait pathologies.
Main Methods:
- Development of an adaptive Gram-Schmidt filtering algorithm for real-time RSA digital cancellation.
- Implementation of a closed-loop system where filtered volitional electromyography (EMG) signals control muscle stimulation.
- Testing the aEMGcFES system's ability to control ankle dorsiflexion in a healthy subject.
Main Results:
- The adaptive filtering algorithm successfully achieved stable, real-time cancellation of RSA.
- The aEMGcFES system demonstrated proportional response to voluntary EMG signals.
- The system effectively activated forceful movements to assist ankle dorsiflexion during isometric contractions.
- Normal ankle joint range of movement was maintained during system usage.
Conclusions:
- Real-time cancellation of primary and RSA is feasible with surface electrode aEMGcFES in healthy individuals.
- The developed aEMGcFES system shows significant promise for future clinical applications.
- Potential applications include assisting individuals with gait pathologies like drop foot secondary to hemiparetic stroke.
