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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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| Pubblicato in: | Brain Inform |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer Berlin Heidelberg
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5413593/ https://ncbi.nlm.nih.gov/pubmed/28110475 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40708-017-0061-y |
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