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

被引:7
|
作者
Wang, Hai-Peng [1 ,2 ]
Bi, Zheng-Yang [3 ]
Fan, Wen-Jie [2 ]
Zhou, Yi-Xin [2 ]
Zhou, Yu-Xuan [3 ,4 ]
Li, Fei [2 ]
Wang, Keping [2 ]
Lu, Xiao-Ying [3 ,5 ]
Wang, Zhi-Gong [2 ,5 ]
机构
[1] Sanjiang Univ, Sch Elect & Informat Engn, Nanjing 210012, Peoples R China
[2] Southeast Univ, Inst RF & OE ICs, Nanjing 210096, Peoples R China
[3] Southeast Univ, State Key Lab Bioelect, Nanjing 210096, Peoples R China
[4] Nanjing Med Univ, Sch Biomed Engn & Informat, Dept Biomed Engn, Nanjing 211166, Peoples R China
[5] Nantong Univ, Coinnovat Ctr Neuroregenerat, Nantong 226001, Peoples R China
来源
IEEE ACCESS | 2021年 / 9卷
基金
中国国家自然科学基金;
关键词
Electromyography; Iron; Real-time systems; Noise reduction; Filtering algorithms; Blanking; Field programmable gate arrays; Functional electrical stimulation (FES); stimulus artifact removal (SAR); surface electromyography (sEMG); adaptive filter; field-programmable gate array (FPGA); SIGNAL; DEVICE;
D O I
10.1109/ACCESS.2021.3077644
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 database with varied ten-fold frequency stimulation. By implementing the GS-APEF in the field-programmable gate array (FPGA) and using the edge noise mitigating technique, a stimulation artifact denoising system is designed to realize real-time stimulation artifact removal under varied ten-fold frequency functional electrical stimulation. Good performance of the artifact denoising is demonstrated in proof-of-concept experiments on able-bodied subjects with a mean correlation coefficient between the root mean square profile of denoised surface electromyography and volitional force of 0.94, verifying the validity of the proposed prototype.
引用
收藏
页码:68320 / 68331
页数:12
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