%A HUANG Li-ya, DA Cheng-lu, YANG Chen, CHEN Zhi-yang and WANG Hao %T Improved EEMD Algorithm Based on EEG Signal %0 Journal Article %D 2017 %J Computer Science %R 10.11896/j.issn.1002-137X.2017.05.012 %P 66-70 %V 44 %N 5 %U {https://www.jsjkx.com/CN/abstract/article_791.shtml} %8 2018-11-13 %X In order to effectively improve the mode mixing problem for EEG study,a modified EEMD algorithm was proposed to adapt to the brain signal research.Firstly,We screened out the EMD results based on correlation,then adaptively predicted the EEG signal characteristics from the original brain signals,and fused the property of white Gaussian noise to generate new noise brain signal.Finally,based on the new noise,the EEMD was performed.The experimental results show that the new brain signal is not only adaptive,but also can solve the mode mixing problem of brain signals in EMD better,proving the theory and the application value of the improved algorithm in EEG study field.