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EEG feature selection method based on decision tree

文献类型：期刊论文

作者Duan, Lijuan1,2; Ge, Hui1,2; Ma, Wei1,2; Miao, Jun3
刊名BIO-MEDICAL MATERIALS AND ENGINEERING
出版日期2015
卷号26页码:S1019-S1025
关键词Decision tree feature selection optimal features EEG brain-computer interface
ISSN号0959-2989
DOI10.3233/BME-151397
英文摘要This paper aims to solve automated feature selection problem in brain computer interface (BCI). In order to automate feature selection process, we proposed a novel EEG feature selection method based on decision tree (DT). During the electroencephalogram (EEG) signal processing, a feature extraction method based on principle component analysis (PCA) was used, and the selection process based on decision tree was performed by searching the feature space and automatically selecting optimal features. Considering that EEG signals are a series of non-linear signals, a generalized linear classifier named support vector machine (SVM) was chosen. In order to test the validity of the proposed method, we applied the EEG feature selection method based on decision tree to BCI Competition II datasets Ia, and the experiment showed encouraging results.
资助项目Natural Science Foundation of China[61003105] ; Natural Science Foundation of China[61175115] ; Natural Science Foundation of China[61370113] ; Natural Science Foundation of China[61272320] ; Beijing Municipal Natural Science Foundation[4152005] ; Beijing Municipal Natural Science Foundation[4152006] ; Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions (CIT) ; Jing-Hua Talents Project of Beijing University of Technology[2014-JH-L06] ; Ri-Xin Talents Project of Beijing University of Technology[2014-RX-L06] ; Research Fund of Beijing Municipal Commission of Education[PXM2015_014204_500221] ; International Communication Ability Development Plan for Young Teachers of Beijing University of Technology[2014-16] ; Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions[TCD201304035]
WOS研究方向Engineering ; Materials Science
语种英语
WOS记录号WOS:000361671800115
出版者IOS PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/9344]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Miao, Jun
作者单位1.Natl Engn Lab Crit Technol Informat Secur Classif, Beijing 100124, Peoples R China
2.Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Key Lab Integrat & Anal Large Scale Strea, Key Lab Trusted Comp, Beijing 100124, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Duan, Lijuan,Ge, Hui,Ma, Wei,et al. EEG feature selection method based on decision tree[J]. BIO-MEDICAL MATERIALS AND ENGINEERING,2015,26:S1019-S1025.
APA Duan, Lijuan,Ge, Hui,Ma, Wei,&Miao, Jun.(2015).EEG feature selection method based on decision tree.BIO-MEDICAL MATERIALS AND ENGINEERING,26,S1019-S1025.
MLA Duan, Lijuan,et al."EEG feature selection method based on decision tree".BIO-MEDICAL MATERIALS AND ENGINEERING 26(2015):S1019-S1025.

入库方式： OAI收割

来源：计算技术研究所

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