A Data-Driven Volitional EMG Extraction Algorithm During Functional Electrical Stimulation With Time Variant Parameters-Reference-Cited by-同舟云学术

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A Data-Driven Volitional EMG Extraction Algorithm During Functional Electrical Stimulation With Time Variant Parameters

Published:2020-05 Issue:5 Volume:28 Page:1069-1080
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Zhou Yuxuan^ORCID,Bi Zhengyang,Ji Minjie,Chen Shisheng,Wang Wei,Wang Keping^ORCID,Hu Benhui,Lu Xiaoying^ORCID,Wang Zhigong^ORCID

Funder

National Natural Science Foundation of China

SEU-NMU Joint Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9090036/09034186.pdf?arnumber=9034186

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated detection and removal of artifacts from sEMG signals based on fuzzy inference system and signal decomposition methods;Biomedical Signal Processing and Control;2024-08

2. Machine-learning-based coordination of powered ankle–foot orthosis and functional electrical stimulation for gait control;Frontiers in Bioengineering and Biotechnology;2024-01-10

3. Comparison of filtering methods for real-time extraction of the volitional EMG component in electrically stimulated muscles;Biomedical Signal Processing and Control;2024-01

4. EMG-Informed Neuromusculoskeletal Modelling Estimates Muscle Forces and Joint Moments During Electrical Stimulation;2023 International Conference on Rehabilitation Robotics (ICORR);2023-09-24

5. Artifact Adaptive Ideal Filtering of EMG Signals Contaminated by Spinal Cord Transcutaneous Stimulation;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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