Resting-State-Based Spatial Filtering for an fNIRS-Based Motor Imagery Brain-Computer Interface

Functional near-infrared spectroscopy (fNIRS) has attracted much attention in brain-computer interface (BCI) area due to its advantages of portability, robustness to electrical artifacts, etc. However, in practical applications, fNIRS-based BCI usually needs a labor-intensive and time-consuming trai...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2019, Vol.7, p.120603-120615
Hauptverfasser:	Zheng, Yanchun, Zhang, Dan, Wang, Ling, Wang, Yijun, Deng, Hao, Zhang, Shen, Li, Deyu, Wang, Daifa
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms brain-computer interface classification algorithms Data mining Feature extraction Filtering Functional magnetic resonance imaging Functional near-infrared spectroscopy Human-computer interface Image classification Independent component analysis Infrared spectra Integrated circuits Medical imaging Near infrared radiation resting-state Spatial filtering Task analysis Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!