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Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) patients is investigated. Brain tasks, channel selection methods, and feature extraction and classification algorithms avai...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032997/ https://www.ncbi.nlm.nih.gov/pubmed/30002623 http://dx.doi.org/10.3389/fnhum.2018.00246 |