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Issue Date
Title
Author(s)
2019-07
Identification of Neuromuscular Causal Relationship Between Brain and Muscles in Limb Movement by Using Ensemble Empirical Mode Decomposition based Causal Decomposition.
Zhang, Y
;
Yao, D
;
Tie, Y
;
Wang, Y
;
Zhang, X
;
Cui, Y
;
Hao, J
;
Wu, X
;
Su, S
;
Xu, P
2017-07-01
Extracting time-frequency feature of single-channel vastus medialis EMG signals for knee exercise pattern recognition
Yi, Z
;
Li, P
;
Zhu, X
;
Su, SW
;
Guo, Q
;
Xu, P
;
Yao, D
2018-12-01
Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal
Phukpattaranont, P
;
Thongpanja, S
;
Anam, K
;
Al-Jumaily, A
;
Limsakul, C
2018-10-26
Optimal feature set for finger movement classification based on sEMG
Al-Taee, AA
;
Al-Jumaily, A
2021-03-30
Noise-assisted multivariate empirical mode decomposition based causal decomposition for brain-physiological network in bivariate and multiscale time series.
Zhang, Y
;
Yang, Q
;
Zhang, L
;
Ran, Y
;
Wang, G
;
Celler, B
;
Su, S
;
Xu, P
;
Yao, D
2021-12-09
Noise-assisted Multivariate Empirical Mode Decomposition based Causal Decomposition for Detecting Upper Limb Movement in EEG-EMG Hybrid Brain Computer Interface
Zhang, Y
;
Zhang, L
;
Wang, G
;
Lyu, W
;
Ran, Y
;
Su, S
;
Xu, P
;
Yao, D
2017-09-13
Performance evaluation of Noise-Assisted Multivariate Empirical Mode Decomposition and its application to multichannel EMG signals
Zhang, Y
;
Su, S
;
Xu, P
;
Yao, D
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Humans
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Electromyography
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Algorithms
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Movement
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Pattern Recognition, Automated
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Biomedical Engineering
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Brain-Computer Interfaces
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