guangyu Bin
guangyu Bin
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Zitiert von
Zitiert von
An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method
G Bin, X Gao, Z Yan, B Hong, S Gao
Journal of neural engineering 6 (4), 046002, 2009
A high-speed BCI based on code modulation VEP
G Bin, X Gao, Y Wang, Y Li, B Hong, S Gao
Journal of neural engineering 8 (2), 025015, 2011
VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]
G Bin, X Gao, Y Wang, B Hong, S Gao
IEEE Computational Intelligence Magazine 4 (4), 22-26, 2009
A study of the existing problems of estimating the information transfer rate in online brain–computer interfaces
P Yuan, X Gao, B Allison, Y Wang, G Bin, S Gao
Journal of neural engineering 10 (2), 026014, 2013
Predicting healthy older adult's brain age based on structural connectivity networks using artificial neural networks
L Lin, C Jin, Z Fu, B Zhang, G Bin, S Wu
Computer methods and programs in biomedicine 125, 8-17, 2016
Event-related desynchronization (ERD) in the alpha band during a hand mental rotation task
X Chen, G Bin, I Daly, X Gao
Neuroscience letters 541, 238-242, 2013
Learning without consciously knowing: evidence from event-related potentials in sequence learning
Q Fu, G Bin, Z Dienes, X Fu, X Gao
Consciousness and cognition 22 (1), 22-34, 2013
Detection of atrial fibrillation using decision tree ensemble
G Bin, M Shao, G Bin, J Huang, D Zheng, S Wu
2017 Computing in Cardiology (CinC), 1-4, 2017
Detection of atrial fibrillation from ECG recordings using decision tree ensemble with multi-level features
M Shao, G Bin, S Wu, G Bin, J Huang, Z Zhou
Physiological measurement 39 (9), 094008, 2018
Analysis of phase coding SSVEP based on canonical correlation analysis (CCA)
Y Li, G Bin, X Gao, B Hong, S Gao
2011 5th International IEEE/EMBS Conference on Neural Engineering, 368-371, 2011
A wearable electrocardiogram telemonitoring system for atrial fibrillation detection
M Shao, Z Zhou, G Bin, Y Bai, S Wu
Sensors 20 (3), 606, 2020
A half-field stimulation pattern for SSVEP-based brain-computer interface
Z Yan, X Gao, G Bin, B Hong, S Gao
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
The SSVEP topographic scalp maps by canonical correlation analysis
G Bin, Z Lin, X Gao, B Hong, S Gao
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
Research frontier: VEP-based brain-computer interfaces: time, frequency, and code modulations
G Bin, X Gao, Y Wang, B Hong, S Gao
IEEE computational intelligence magazine 4 (4), 22-26, 2009
Idle state detection in SSVEP-based brain-computer interfaces
R Ren, G Bin, X Gao
2008 2nd International Conference on Bioinformatics and Biomedical …, 2008
MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography
Y Zeng, PH Tsui, K Pang, G Bin, J Li, K Lv, X Wu, S Wu, Z Zhou
Ultrasonics 127, 106855, 2023
Multi-channel linear descriptors for event-related EEG collected in brain computer interface
X Pei, C Zheng, J Xu, G Bin, H Wang
Journal of Neural Engineering 3 (1), 52, 2006
Intensity inhomogeneity correction using N3 on mouse brain magnetic resonance microscopy
L Lin, S Wu, G Bin, C Yang
Journal of Neuroimaging 23 (4), 502-507, 2013
裴晓梅, 郑崇勋, 宾光宇
西安交通大学学报 39 (8), 904-907, 2005
Discussion on “Towards a quantitative characterization of functional states of the brain: from the non-linear methodology to the global linear description” by J. Wackermann
X Pei, C Zheng, A Zhang, F Duan, G Bin
International Journal of Psychophysiology 56 (3), 201-207, 2005
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