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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...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Front Hum Neurosci
Prif Awduron: Hong, Keum-Shik, Khan, M. Jawad, Hong, Melissa J.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Frontiers Media S.A. 2018
Pynciau:
Mynediad Ar-lein: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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