Načítá se...
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...
Uloženo v:
| Vydáno v: | Front Hum Neurosci |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Frontiers Media S.A.
2018
|
| Témata: | |
| On-line přístup: | 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 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|