现代电子技术Issue(19)：70-72,76,4.
小波变换在运动想象脑电分类中的应用
The applications of wavelet transform in motor imagery EEG classification
张俊伟 1刘建平2
作者信息
- 1. 武警工程大学 研究生大队，陕西 西安 710086
- 2. 武警工程大学 理学院，陕西 西安 710086
- 折叠
摘要
Abstract
Brain-computer interface(BCI)technology is an interactive communication technology which is realized without depending on humans′ peripheral nerves and muscles. The technology provides human a man-machine communication and con-trol channel without the communication between muscular tissue and outside world. On the basis of the pervious research re-sults,the Mallat algorithm of wavelet transform is used in the feature extraction of the experiment data. The time window selec-tion and useful signal choosing with the frequency range is focused on. The classification results for accuracy of 84.285 6%,pre-cision of 85.272 1% and sensitivity of 92.000 6% were achieved by SVM.关键词
脑-机接口/特征提取/小波变换Key words
BCI/feature extraction/wavelet transform分类
信息技术与安全科学引用本文复制引用
张俊伟,刘建平..小波变换在运动想象脑电分类中的应用[J].现代电子技术,2013,(19):70-72,76,4.
