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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...
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| Published in: | Front Hum Neurosci |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6032997/ https://ncbi.nlm.nih.gov/pubmed/30002623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2018.00246 |
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