Design of a Savitzky-Golay Filter-Based vEMG-FES System
It is evident that voluntary effort plays a crucial role in electrical stimulation rehabilitation, facilitating neuroplasticity enhancement in patients with neurological disorders. In this paper, we present a multichannel system designed for simultaneous functional electrical stimulation (FES) and v...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
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| Online Access: | https://ieeexplore.ieee.org/document/10856274/ |
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| author | Ruikai Cao Yixuan Sheng Anqin Dong Honghai Liu |
| author_facet | Ruikai Cao Yixuan Sheng Anqin Dong Honghai Liu |
| author_sort | Ruikai Cao |
| collection | DOAJ |
| description | It is evident that voluntary effort plays a crucial role in electrical stimulation rehabilitation, facilitating neuroplasticity enhancement in patients with neurological disorders. In this paper, we present a multichannel system designed for simultaneous functional electrical stimulation (FES) and volitional EMG (vEMG) acquisition using shared electrodes. The system employs hardware blanking with electrodes shorting to suppress stimulation artifacts and accelerate residual charge dissipation. Additionally, we adapt the Savitzky-Golay filter to extract high-quality, real-time vEMG from FES-contaminated signals, with the optimal filter parameters for different stimulation and blanking periods determined using a genetic algorithm and semi-synthesized signals. Simulation and experimental results confirm that the proposed system ensures robust and high-quality vEMG acquisition, even under varying parameters and across different individuals. In summary, this work advances the development of closed-loop rehabilitation applications and enables further investigation of neuromuscular characteristics under FES. |
| format | Article |
| id | doaj-art-0f6f867c006143ce88cb717f20a55bf0 |
| institution | Kabale University |
| issn | 1534-4320 1558-0210 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj-art-0f6f867c006143ce88cb717f20a55bf02025-01-31T00:00:09ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1534-43201558-02102025-01-013361061910.1109/TNSRE.2025.353563910856274Design of a Savitzky-Golay Filter-Based vEMG-FES SystemRuikai Cao0https://orcid.org/0009-0008-8406-3370Yixuan Sheng1https://orcid.org/0000-0003-1022-7690Anqin Dong2Honghai Liu3https://orcid.org/0000-0002-2880-4698State Key Laboratory of Robotics and Systems, Harbin Institute of Technology at Shenzhen, Shenzhen, ChinaState Key Laboratory of Robotics and Systems, Harbin Institute of Technology at Shenzhen, Shenzhen, ChinaThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaSchool of Biomedical Engineering and the State Key Laboratory of Robotics and Systems, Harbin Institute of Technology at Shenzhen, Shenzhen, ChinaIt is evident that voluntary effort plays a crucial role in electrical stimulation rehabilitation, facilitating neuroplasticity enhancement in patients with neurological disorders. In this paper, we present a multichannel system designed for simultaneous functional electrical stimulation (FES) and volitional EMG (vEMG) acquisition using shared electrodes. The system employs hardware blanking with electrodes shorting to suppress stimulation artifacts and accelerate residual charge dissipation. Additionally, we adapt the Savitzky-Golay filter to extract high-quality, real-time vEMG from FES-contaminated signals, with the optimal filter parameters for different stimulation and blanking periods determined using a genetic algorithm and semi-synthesized signals. Simulation and experimental results confirm that the proposed system ensures robust and high-quality vEMG acquisition, even under varying parameters and across different individuals. In summary, this work advances the development of closed-loop rehabilitation applications and enables further investigation of neuromuscular characteristics under FES.https://ieeexplore.ieee.org/document/10856274/Volitional electromyography (vEMG) extractionfunctional electrical stimulation (FES)Savitzky-Golay filterartifact removal |
| spellingShingle | Ruikai Cao Yixuan Sheng Anqin Dong Honghai Liu Design of a Savitzky-Golay Filter-Based vEMG-FES System IEEE Transactions on Neural Systems and Rehabilitation Engineering Volitional electromyography (vEMG) extraction functional electrical stimulation (FES) Savitzky-Golay filter artifact removal |
| title | Design of a Savitzky-Golay Filter-Based vEMG-FES System |
| title_full | Design of a Savitzky-Golay Filter-Based vEMG-FES System |
| title_fullStr | Design of a Savitzky-Golay Filter-Based vEMG-FES System |
| title_full_unstemmed | Design of a Savitzky-Golay Filter-Based vEMG-FES System |
| title_short | Design of a Savitzky-Golay Filter-Based vEMG-FES System |
| title_sort | design of a savitzky golay filter based vemg fes system |
| topic | Volitional electromyography (vEMG) extraction functional electrical stimulation (FES) Savitzky-Golay filter artifact removal |
| url | https://ieeexplore.ieee.org/document/10856274/ |
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