Analysis of alcoholic EEG signals based on horizontal visibility graph entropy
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 s...
Main Authors: | , , , |
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Format: | Online |
Language: | English |
Published: |
Springer Berlin Heidelberg
2014
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883153/ |