A subject transfer framework for EEG classification
作者： Wenting Tu , Shiliang Sun
DOI: 10.1016/J.NEUCOM.2011.10.024
关键词: Filter (video) 、 Feature extraction 、 Calibration (statistics) 、 Pattern recognition 、 Adaptive filter 、 Set (abstract data type) 、 Artificial intelligence 、 Ensemble learning 、 Sparse approximation 、 Data mining 、 Computer science 、 Transfer of learning
摘要: … problem in EEG classification are described here. … EEG classification performance. It can achieve positive subject transfer with improvement on both feature extraction and classification …
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Paul L. Nunez, Ramesh Srinivasan, Andrew F. Westdorp, Ranjith S. Wijesinghe, Don M. Tucker, Richard B. Silberstein, Peter J. Cadusch, EEG coherency: I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales Electroencephalography and Clinical Neurophysiology. ,vol. 103, pp. 499- 515 ,(1997) , 10.1016/S0013-4694(97)00066-7
N. Jeremy Hill, Thomas Navin Lal, Michael Schröder, Thilo Hinterberger, Guido Widman, Christian E. Elger, Bernhard Schölkopf, Niels Birbaumer, Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals Lecture Notes in Computer Science. pp. 404- 413 ,(2006) , 10.1007/11861898_41
Shiliang Sun, The Extreme Energy Ratio Criterion for EEG Feature Extraction Artificial Neural Networks - ICANN 2008. pp. 919- 928 ,(2008) , 10.1007/978-3-540-87559-8_95
Wenting Tu, Shiliang Sun, Spatial filter selection with LASSO for EEG classification advanced data mining and applications. pp. 142- 149 ,(2010) , 10.1007/978-3-642-17313-4_14
Yoav Freund, Robert E Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting conference on learning theory. ,vol. 55, pp. 119- 139 ,(1997) , 10.1006/JCSS.1997.1504
Yonghong Huang, Deniz Erdogmus, Misha Pavel, Santosh Mathan, Kenneth E Hild II, None, A framework for rapid visual image search using single-trial brain evoked responses Neurocomputing. ,vol. 74, pp. 2041- 2051 ,(2011) , 10.1016/J.NEUCOM.2010.12.025
Matthias Krauledat, Michael Tangermann, Benjamin Blankertz, Klaus-Robert Müller, Towards Zero Training for Brain-Computer Interfacing PLOS ONE. ,vol. 3, ,(2008) , 10.1371/JOURNAL.PONE.0002967
Behrooz Nasihatkon, Reza Boostani, Mansoor Zolghadri Jahromi, An efficient hybrid linear and kernel CSP approach for EEG feature extraction Neurocomputing. ,vol. 73, pp. 432- 437 ,(2009) , 10.1016/J.NEUCOM.2009.07.012
T.M. Vaughan, Guest editorial brain-computer interface technology: a review of the second international meeting IEEE Transactions on Neural Systems and Rehabilitation Engineering. ,vol. 11, pp. 94- 109 ,(2003) , 10.1109/TNSRE.2003.814799
Shiliang Sun, Changshui Zhang, Letters: An optimal kernel feature extractor and its application to EEG signal classification Neurocomputing. ,vol. 69, pp. 1743- 1748 ,(2006) , 10.1016/J.NEUCOM.2005.12.125