Practical applications of Motor imagery EEG based on BP neural networks

被引：1
|
作者：
Wu Hua-liang [1 ]
Mu Zhen-dong [2 ]
Hu Jian-feng [3 ]
机构：
[1] Jiangxi Univ Technol, Informat & Network Adm Ctr, Nanchang, Jiangxi, Peoples R China
[2] Jiangxi Univ Technol, Inst Informat Technol, Nanchang, Jiangxi, Peoples R China
[3] Jiangxi Univ Technol, Nanchang, Jiangxi, Peoples R China
来源：
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷
关键词：
Neural Networks; EEG; Classification; SINGLE-TRIAL EEG; HAND MOVEMENT; CLASSIFICATION;
D O I：
10.4028/www.scientific.net/AMM.263-266.3374
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In the application of the classification, neural networks are often used as a classification tool, In this paper, neural network is introduced on motor imagery EEG analysis, the first EEG Hjort conversion, and then the brain electrical signal is converted into the frequency domain, Finally, the fisher distance for feature extraction in the EEG analysis, identification of the study sample was 97 86% recognition rate is 80% of the test sample.
引用
收藏
页码：3374 / +
页数：2
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