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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |