Single Trial Extraction of Cognitive Evoked Potential by Using EMD Based Method
Empirical mode decomposition (EMD) is a new signal decomposition method, which could decompose the nonstationary signal into several single-component intrinsic mode functions (IMFs) and each IMF has some physical meaning. This paper studied the single trial extraction of cognitive evoked potential by combining EMD and wavelet threshold filter. Experimental results showed that the EMD based method can separate the noise out of the event related potentials (ERPs) and effectively extract the weak ERPs in strong background noise. It manifested as the waveform characteristics and root mean square error (RMSE).
EMD Wavelet threshold ERP Single trial extraction
Cailin Tao Ling Zou Yunfeng Li Zhenghua Ma
Faculty of Information Science & Engineering, Changhzou University, 213164 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
393-398
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）