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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-06-01
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Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2018.00246/full |