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
相关论文
共 50 条
  • [21] Feature Selection Based on Neighborhood Systems and Rough Set Theory
    He, Ming
    WKDD: 2009 SECOND INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, : 3 - 5
  • [22] Efficient feature reduction algorithm based on mPCA and rough set
    Jin, Yanfeng
    Geng, Keming
    Wang, Yongping
    Zhao, Baozhu
    International Journal of Advancements in Computing Technology, 2012, 4 (15) : 504 - 511
  • [23] Feature Extraction from Engine's Data Based on Rough Sets Theory
    Wang Feng
    Jia Lixin
    PRODUCT DESIGN AND MANUFACTURE, 2012, 120 : 410 - 413
  • [24] EEG FEATURE EXTRACTION AND RECOGNITION BASED ON MULTI-FEATURE FUSION
    Sun, Jian
    Wu, Quanyu
    Gao, Nan
    Pan, Lingjiao
    Tao, Weige
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2024, 36 (06):
  • [25] An Exact Feature Selection Algorithm Based on Rough Set Theory
    Rezvan, Mohammad Taghi
    Hamadani, Ali Zeinal
    Hejazi, Seyed Reza
    COMPLEXITY, 2015, 20 (05) : 50 - 62
  • [26] Fault feature subset selection based on rough set theory
    Zhao, Yueling
    Xu, Lin
    Wang, Jianhui
    Gu, Shusheng
    Complexity Analysis and Control for Social, Economical and Biological Systems, 2006, 1 : 162 - 171
  • [27] Methods for railway safety information extraction based on vague set and rough set
    Ji X.-F.
    He Z.-H.
    Liu L.
    Tiedao Xuebao/Journal of the China Railway Society, 2010, 32 (02): : 14 - 17
  • [28] Decision Rules Extraction of Rough Set Based on Attribute Dependability
    Fu, Bo
    Huang, Yingwei
    Liu, Hui
    Yi, Nan
    Ji, Hanjun
    Xing, Xin
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2012, 15 (09): : 3793 - 3801
  • [29] Soft Rough Set based span for unsupervised keyword extraction
    Chatterjee, Niladri
    Roy, Aayush Singha
    Yadav, Nidhika
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 42 (05) : 4379 - 4386
  • [30] Similarity Feature Extraction of EEG
    Mu, Zhendong
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL, 2015, 125 : 1250 - 1253
12345