The Feature Extraction and Recognition of EEG Based on Wavelet Entropy and Distance

被引：0

作者：

Sun Yuge ^{[1
]}

Ye Ning ^{[1
]}

Xu Xinhe ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

EEG; Brain-Computer Interface; Wavelet entropy; Euclidean distance; Feature extraction; Recognition;

D O I：

10.1109/CCDC.2008.4598140

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper is based on the technique of brain-computer interface to investigate the EEG of different mental tasks. The wavelet entropy algorithm is applied to realize the feature extraction for the two mental tasks. The Euclidean distance discriminant is proposed to classify the two metal tasks efficiently and the result is perfect. The recognition rate is up to 96.97%. The research is valuable and significant in the realization of control and communication based on the mental tasks in BCI.

引用

页码：4294 / 4298

页数：5

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