Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP’s in multichannel EEGs

This paper presents a novel ranking method to select spectral entropy (SE) features that discriminate alcoholic and control visual event-related potentials (ERP’S) in gamma sub-band (30–55 Hz) derived from a 64-channel electroencephalogram (EEG) recording. The ranking is based on a t test statistic...

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Detalles Bibliográficos
Autores principales: Padma Shri, T. K., Sriraam, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413593/
https://www.ncbi.nlm.nih.gov/pubmed/28110475
http://dx.doi.org/10.1007/s40708-017-0061-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413593/
https://www.ncbi.nlm.nih.gov/pubmed/28110475
http://dx.doi.org/10.1007/s40708-017-0061-y

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