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...

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Detalles Bibliográficos
Autores principales: Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883153/
https://www.ncbi.nlm.nih.gov/pubmed/27747525
http://dx.doi.org/10.1007/s40708-014-0003-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883153/
https://www.ncbi.nlm.nih.gov/pubmed/27747525
http://dx.doi.org/10.1007/s40708-014-0003-x

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