现代电子技术Issue(17)：55-58,4.
LMD算法与运动想象脑电信号的时频分析
LMD algorithm and time-frequency analysis of motor imagery signal
张晓楠 1刘建平2
作者信息
- 1. 武警工程大学 信息工程系，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
The electroencephalogram (EEG) signal is a very complex non-stationary signal. Local mean decomposition (LMD) method is adopted to perform the time-frequency analysis in EEG signal processing. LMD and time-frequency distribu-tion of a simulation signal is given. The LMD time-frequency analysis for the motor imagery EEG signal of right and left hands is carried out. The results show that LMD has a strong ability to clearly describe the time-frequency distribution,and can accurately describe the nonlinear and non-stationary characteristics of EEG signal. LMD is an effective method of time-frequency analysis in EEG signal processing.关键词
LMD分解/运动想象/脑电信号/时频分析Key words
LMD/motor imagery/EEG signal/time-frequency analysis分类
信息技术与安全科学引用本文复制引用
张晓楠,刘建平..LMD算法与运动想象脑电信号的时频分析[J].现代电子技术,2013,(17):55-58,4.
