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nishi feng
(56 results)?
Synthesis of sEMG Signals for Hand Gestures Using a 1DDCGAN.
Bioengineering (Basel). 2023 Nov 25;10(12):1353. doi: 10.3390/bioengineering10121353.
Bioengineering (Basel). 2023.
PMID: 38135944
Free PMC article.
Non-invasive dual attention TCN for electromyography and motion data fusion in lower limb ambulation prediction.
Zhou B, Feng N, Wang H, Lu Y, Wei C, Jiang D, Li Z.
Zhou B, et al. Among authors: feng n.
J Neural Eng. 2022 Sep 1;19(4). doi: 10.1088/1741-2552/ac89b4.
J Neural Eng. 2022.
PMID: 35970137
Item in Clipboard
Acrophobia Quantified by EEG Based on CNN Incorporating Granger Causality.
Hu F, Wang H, Wang Q, Feng N, Chen J, Zhang T.
Hu F, et al. Among authors: feng n.
Int J Neural Syst. 2021 Mar;31(3):2050069. doi: 10.1142/S0129065720500690. Epub 2020 Dec 23.
Int J Neural Syst. 2021.
PMID: 33357152
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Decoding of voluntary and involuntary upper-limb motor imagery based on graph fourier transform and cross-frequency coupling coefficients.
Feng N, Hu F, Wang H, Gouda MA.
Feng N, et al.
J Neural Eng. 2020 Nov 4;17(5):056043. doi: 10.1088/1741-2552/abc024.
J Neural Eng. 2020.
PMID: 33045685
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Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity.
Feng N, Hu F, Wang H, Zhou B.
Feng N, et al.
Int J Neural Syst. 2021 Dec;31(12):2150047. doi: 10.1142/S0129065721500477. Epub 2021 Oct 23.
Int J Neural Syst. 2021.
PMID: 34693880
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Accurate recognition of lower limb ambulation mode based on surface electromyography and motion data using machine learning.
Zhou B, Wang H, Hu F, Feng N, Xi H, Zhang Z, Tang H.
Zhou B, et al. Among authors: feng n.
Comput Methods Programs Biomed. 2020 Sep;193:105486. doi: 10.1016/j.cmpb.2020.105486. Epub 2020 Apr 29.
Comput Methods Programs Biomed. 2020.
PMID: 32402846
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