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1.
An Automatic Channel Selection Approach for ICA-Based Motor Imagery Brain Computer Interface.
J Med Syst
; 42(12): 253, 2018 Nov 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-30402801
2.
[Online brain-computer interface system based on independent component analysis].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
; 34(1): 106-14, 2017 Feb.
Artículo
en Zh
| MEDLINE | ID: mdl-29717597
3.
[Three-class Motor Imagery Classification Based on Optimal Sub-band Features of Independent Components].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
; 33(2): 208-15, 2016 Apr.
Artículo
en Zh
| MEDLINE | ID: mdl-29708317
4.
[Channel Selection for Multi-class Motor Imagery Based on Common Spatial Pattern].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
; 32(3): 520-5, 2015 Jun.
Artículo
en Zh
| MEDLINE | ID: mdl-26485971
5.
Cross-subject emotion EEG signal recognition based on source microstate analysis.
Front Neurosci
; 17: 1288580, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-38089968
6.
To Explore the Potentials of Independent Component Analysis in Brain-Computer Interface of Motor Imagery.
IEEE J Biomed Health Inform
; 24(3): 775-787, 2020 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-31217132
7.
A Fully Automated Trial Selection Method for Optimization of Motor Imagery Based Brain-Computer Interface.
PLoS One
; 11(9): e0162657, 2016.
Artículo
en Inglés
| MEDLINE | ID: mdl-27631789
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