Real-Time Artifact Removal System for Surface EMG Processing During Ten-Fold Frequency Electrical Stimulation

Real-Time Artifact Removal System for Surface EMG Processing During Ten-Fold Frequency Electrical Stimulation

In this paper, three easily implemented hardware algorithms, including the adaptive prediction error filter based on the Gram-Schmidt algorithm (GS-APEF), the least mean square adaptive filter and the comb filter, are extensively investigated for artifact denoising on a constructed semi-simulated da...

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Bibliographic Details
Main Authors: Hai-Peng Wang, Zheng-Yang Bi, Wen-Jie Fan, Yi-Xin Zhou, Yu-Xuan Zhou, Fei Li, Keping Wang, Xiao-Ying Lu, Zhi-Gong Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Functional electrical stimulation (FES)
stimulus artifact removal (SAR)
surface electromyography (sEMG)
adaptive filter
field-programmable gate array (FPGA)
Online Access:https://ieeexplore.ieee.org/document/9423983/

Internet

https://ieeexplore.ieee.org/document/9423983/

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