EEG Feature Extraction Based on Rough Set

被引：0
|
作者：
Mu, Zhendong [1 ]
机构：
[1] Jiangxi Univ Technol, Inst Informat Technol, Nanchang 330029, Jiangxi, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL | 2015年 / 125卷
关键词：
Feature extraction; Rough set; Electroencephalograph (EEG) signal; AUTHENTICATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Rough set theory has been successfully utilized in a variety of information mining fields. Since the EEG found that many researchers to study the biological signals in electrical brain research, the EEG feature extraction algorithm is a major research content. In this paper, rough set theory is taken as a research tool, EEG feature extraction, through 30 subjects collected EEG analysis, collect the EEG applied to the identification, the results show that rough set of feature extraction method can achieve identification.
引用
收藏
页码：1246 / 1249
页数：4
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