An adaptive unsupervised classification of seizure method based on LMD-MSSE with EEG signals

@inproceedings{Ren2016AnAU,
  title={An adaptive unsupervised classification of seizure method based on LMD-MSSE with EEG signals},
  author={Hao Ren and Jianfeng Qu and Yi Chai and Qiu Tang and Yuming Zhou},
  year={2016}
}
On the basis of analyzing electroencephalogram (EEG) signals with nonlinear and nonstationary troubles, an adaptive unsupervised classification of seizure method, based on LMD-MSSE, is introduced into this article. The local mean decomposition (LMD), multi-scales sample entropy (MSSE) and the unsupervised classifier called K-nearest neighbors (KNN) are integrated in this method. Particularly, the LMD is utilized to obtain different component signals, adaptively, called product functions (PFs… CONTINUE READING
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