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The random electrode selection ensemble for EEG signal classification
Sun, Shiliang ; Zhang, Changshui ; Lu, Yue
2010-05-06 ; 2010-05-06
关键词EEG signal classification classifier ensemble Bayesian classifier Gaussian mixture model Fisher discriminant analysis BRAIN-COMPUTER-INTERFACE SINGLE-TRIAL EEG TRANSFORMATION COMMUNICATION DISCRIMINANT TECHNOLOGY ALGORITHM BCI Computer Science, Artificial Intelligence Engineering, Electrical & Electronic
中文摘要Pattern classification methods are a crucial direction in the current study of brain-computer interface (BCI) technology. A simple yet effective ensemble approach for electroencephalogram (EEG) signal classification named the random electrode selection ensemble (RESE) is developed, which aims to surmount the instability demerit of the Fisher discriminant feature extraction for BCI applications. Through the random selection of recording electrodes answering for the physiological background of user-intended mental activities, multiple individual classifiers are constructed. In a feature subspace determined by a couple of randomly selected electrodes, principal component analysis (PCA) is first used to carry out dimensionality reduction. Successively Fisher discriminant is adopted for feature extraction, and a Bayesian classifier with a Gaussian mixture model (GMM) approximating the feature distribution is trained. For a test sample the outputs from all the Bayesian classifiers are combined to give the final prediction for its label. Theoretical analysis and classification experiments with real EEG signals indicate that the RESE approach is both effective and efficient. (c) 2007 Elsevier Ltd. All rights reserved.
语种英语 ; 英语
出版者PERGAMON-ELSEVIER SCIENCE LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/9268]  
专题清华大学
推荐引用方式
GB/T 7714
Sun, Shiliang,Zhang, Changshui,Lu, Yue. The random electrode selection ensemble for EEG signal classification[J],2010, 2010.
APA Sun, Shiliang,Zhang, Changshui,&Lu, Yue.(2010).The random electrode selection ensemble for EEG signal classification..
MLA Sun, Shiliang,et al."The random electrode selection ensemble for EEG signal classification".(2010).
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