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西安交通大学 [3]
北京航空航天大学 [2]
华南理工大学 [1]
上海大学 [1]
福州大学 [1]
沈阳自动化研究所 [1]
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会议论文 [4]
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A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding
期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2019, 卷号: 27, 页码: 1170-1180
作者:
Li, Yang
;
Zhang, Xian-Rui
;
Zhang, Bin
;
Lei, Meng-Ying
;
Cui, Wei-Gang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Brain-computer interfaces (BCIs)
channel projection
deep learning
electroencephalography (EEG)
mixed-scale convolutional neural network
motor imagery
Common Spatial Patterns Based on the Quantized Minimum Error Entropy Criterion
期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
作者:
Chen, Badong
;
Li, Yuanhao
;
Dong, Jiyao
;
Lu, Na
;
Qin, Jing
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
Binary classification
Brain computer interfaces (BCIs)
Common spatial patterns
Electro-encephalogram (EEG)
Error entropy
Gradient based iterative algorithms
Minimum error entropy criterions
Multichannel electroencephalograms
Comparison of Visual Cortex Functional Connectivity Patterns Based on Steady-state Monochromatic Flicker and Oscillating Checkerboard Visual Stimulus
会议论文
作者:
Han, XingLiang
;
Xie, Jun
;
Luo, AiLing
;
Xu, GuangHua
;
Zhang, XiaoDong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/19
Brain computer interfaces (BCIs)
Canonical correlation analysis
Directed transfer functions
Functional connectivity patterns
Information transmission
Steady state visual evoked potentials
Visual evoked potential
Visual information processing
Detection of lower-limb movement intention from EEG signals
会议论文
Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
作者:
Liu, D.
;
Chen, W.
;
Pei, Z.
;
Wang, J.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Brain
Electroencephalography
Electrophysiology
Industrial electronics
Interfaces (computer)
Support vector machines
Brain computer interfaces (BCIs)
Classification models
Detection accuracy
Detection performance
Healthy subjects
Movement Related Cortical Potentials
Neurorehabilitation
sensorymotor rhythm (SMR)
Brain computer interface
Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter
期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 1053-1060
作者:
Yang, Banghua[1]
;
Duan, Kaiwen[2]
;
Zhang, Tao[3]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/26
Electrooculogram (EOG)
Electroencephalogram (EEG)
Sparse autoencoder (SAE)
Recursive least squares (RLS) adaptive filtering
Brain computer interfaces (BCIs)
Brain-computer interface paradigms and signal processing strategy for steady state visual evoked potential
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2015, 卷号: 49, 期号: [db:dc_citation_issue], 页码: 1-7
作者:
Xu, Guanghua
;
Zhang, Feng
;
Xie, Jun
;
Li, Yeping
;
Han, Chengcheng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Brain computer interfaces (BCIs)
Feature extraction methods
High frequency time series
Improved Hilbert-Huang transforms
Navigational technologies
Newton's rings
Steady state visual evoked potentials
Time frequency characteristics
Feature Extraction of P300s in EEG Signal With Discrete Wavelet Transform and Fisher Criterion
会议论文
作者:
Guo, Shunying
;
Lin, Suyun
;
Huang, Zhihua
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/21
Brain-computer interfaces (BCIs)
discrete wavelet transform (DWT)
Fisher criterion
P300
Single-trial decoding of imagined grip force parameters involving the right or left hand based on movement-related cortical potentials
期刊论文
CHINESE SCIENCE BULLETIN, 2014, 卷号: 59, 期号: 16, 页码: 1907-1916
作者:
Fu YF(伏云发)
;
Xu BL(徐保磊)
;
Li YC(李永程)
;
Wang YC(王越超)
;
Yu, Zhengtao
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2014/05/14
Electroencephalogram (EEG)
Movement-related cortical potentials (MRCP)
Imagined grip force parameters
Single-trial decoding
Brain–computer interfaces (BCIs)
Joint Channel-frequency Selection for Motor Imagery-based BCIs Using a Semi-supervised SVM Algorithm (CPCI-S收录)
会议论文
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE
作者:
Li Yuanqing[1]
;
Long Jinyi[1]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/16
Electroencephalogram (EEG)
Motor Imagery
Brain Computer Interfaces (BCIs)
Channel
Frequency Band
Semi-supervised Learning
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