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Design of a Savitzky-Golay Filter-Based vEMG-FES System
Summary
This study introduces a new system for simultaneous functional electrical stimulation (FES) and volitional EMG (vEMG) acquisition. It achieves high-quality vEMG data during FES, advancing closed-loop rehabilitation for neurological disorders.
Area of Science:
- Biomedical Engineering
- Neurorehabilitation
Background:
- Voluntary effort is key in electrical stimulation rehabilitation for enhancing neuroplasticity in neurological disorders.
- Simultaneous acquisition of functional electrical stimulation (FES) and volitional electromyography (vEMG) is challenging due to stimulation artifacts.
Purpose of the Study:
- To develop a multichannel system for simultaneous FES and vEMG acquisition using shared electrodes.
- To effectively suppress stimulation artifacts and extract high-quality real-time vEMG signals.
Main Methods:
- Utilized hardware blanking with electrode shorting to minimize stimulation artifacts.
- Adapted the Savitzky-Golay filter for real-time vEMG extraction from FES-contaminated signals.
- Employed a genetic algorithm and semi-synthesized signals to optimize filter parameters.
Main Results:
- The proposed system demonstrated robust and high-quality vEMG acquisition.
- Effective artifact suppression and residual charge dissipation were achieved.
- The system performed reliably across varying parameters and individuals.
Conclusions:
- This work enables advanced closed-loop rehabilitation applications.
- Facilitates further investigation of neuromuscular characteristics during FES.
- Improves the quality of vEMG data in FES-assisted rehabilitation.
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