EEG Decoding of Motor Imagery Mode Based on WPT-CSP

被引：0
|
作者：
Wang, Xueting [1 ]
Zhao, Huaqi [1 ]
Li, Guojing [1 ]
He, Lili [1 ]
Wu, Xiaoguang [1 ]
Wang, Yuchun [1 ]
Xu, Binshan [1 ]
Li, Chunjuan [1 ]
Yao, Wei [1 ]
机构：
[1] Jiamusi Univ, Jiamusi 154000, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
关键词：
Wavelet packet transform; Common spatial pattern; Linear discriminant analysis; Motor imagery;
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：
In this paper, wavelet packet transform (WPT) and common space pattern (CSP) algorithm are used to extract signal features. Firstly, the wavelet packet transform is used to decompose the signal, and the appropriate wavelet packet subband is selected for reconstruction. Then, feature vectors are extracted by common space pattern projection mapping. Finally, it innovatively combines linear discriminant classifier (LDA) to classify. The results on BCI-Competition-IV-2b data set show that the average classification accuracy is 86.29%.
引用
收藏
页码：3247 / 3252
页数：6
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