Classification of Targets and Distractors Present in Visual Hemifields Using Time-Frequency Domain EEG Features

This paper presents a classification system to classify the cognitive load corresponding to targets and distractors present in opposite visual hemifields. The approach includes the study of EEG (electroencephalogram) signal features acquired in a spatial attention task. The process comprises of EEG...

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Detalles Bibliográficos
Autores principales: Sweeti, Joshi, Deepak, Panigrahi, B. K., Anand, Sneh, Santhosh, Jayasree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902061/
https://www.ncbi.nlm.nih.gov/pubmed/29808111
http://dx.doi.org/10.1155/2018/9213707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902061/
https://www.ncbi.nlm.nih.gov/pubmed/29808111
http://dx.doi.org/10.1155/2018/9213707

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