Analysis of alcoholic EEG signals based on horizontal visibility graph entropy

@inproceedings{Zhu2014AnalysisOA,
  title={Analysis of alcoholic EEG signals based on horizontal visibility graph entropy},
  author={Guohun Zhu and Yan Li and Peng Wen and Shuaifang Wang},
  booktitle={Brain Informatics},
  year={2014}
}
This paper proposes a novel horizontal visibility graph entropy (HVGE) approach to evaluate EEG signals from alcoholic subjects and controlled drinkers and compare with a sample entropy (SaE) method. Firstly, HVGEs and SaEs are extracted from 1,200 recordings of biomedical signals, respectively. A statistical analysis method is employed to choose the optimal channels to identify the abnormalities in alcoholics. Five group channels are selected and forwarded to a K-Nearest Neighbour (K-NN) and a… CONTINUE READING
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