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Data Augmentation for Deep Neural Networks Model in EEG Classification Task: A Review
Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic oscillations of neural activity, which is one of the core technologies of brain-computer interface systems (BCIs). However, extraction of the features from non-linear and non-stationary EEG signals is still a chal...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718399/ https://www.ncbi.nlm.nih.gov/pubmed/34975434 http://dx.doi.org/10.3389/fnhum.2021.765525 |