Noise-assisted MEMD based relevant IMFs identification and EEG classification

• 作 者: 佘青山 马玉良 孟明 席旭刚 罗志增
• 机 构: InstituteofIntelligentControlandRobotics
• 出 处: Journal of Central South University
• 发表日期: 2017年3期
• 关键词: IMF 脑电图 噪声 辅助提取 分类 识别 经验模式分解 固有模态函数 multichannel electroencephalography noise-as

Noise-assisted multivariate empirical mode decomposition(NA-MEMD) is suitable to analyze multichannel electroencephalography(EEG) signals of non-stationarity and non-linearity natures due to the fact that it can provide a highly localized time-frequency r