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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Bibliographic Details
Published in:Front Hum Neurosci
Main Authors: Hong, Keum-Shik, Khan, M. Jawad, Hong, Melissa J.
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2018
Subjects:
Neuroscience
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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