Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine Learning

The aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods in the context of the effectiveness of the classification of brain activities. For classification, electroencephalographic signals were obtained using an EEG device from 17 subjects in three mental sta...

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Detalles Bibliográficos
Autores principales: Browarczyk, Jakub, Kurowski, Adam, Kostek, Bozena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219492/
https://www.ncbi.nlm.nih.gov/pubmed/32340276
http://dx.doi.org/10.3390/s20082403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219492/
https://www.ncbi.nlm.nih.gov/pubmed/32340276
http://dx.doi.org/10.3390/s20082403

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