Computer Science ›› 2016, Vol. 43 ›› Issue (6): 112-115.doi: 10.11896/j.issn.1002-137X.2016.06.023

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Research on LMD in EEG Signal Analysis Based on Wavelet Packet

MA Xiao and ZHU Xiao-jun   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The EEG signal is a very weak reflection of potential which its produced by brain nerve cell activity,at the same time,it’s also a kind of non-stationary and nonlinear electrical signal.EEG signal are susceptible to external noise interference in the collection process.In order to reduce the noise levels in the EEG signals and improve the efficiency of EEG signal decomposition,this paper proposed a local mean decomposition me-thod based on wavelet packet.This method mainly USPS wavelet packet to make denoising pretreatment on the collected EEG signals,and then analy-zesitvia local mean decomposition.The simulation results show that the improved LMD decomposition can effectively remove the high frequency noise in the original signals,and can effectively eliminate the influence of noise componenton on decomposition process and result.

Key words: Wavelet packet,Local mean decomposition,EEG,BCI

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