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

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...

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Bibliographic Details
Main Authors: Yanchun Zheng, Dan Zhang, Ling Wang, Yijun Wang, Hao Deng, Shen Zhang, Deyu Li, Daifa Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Functional near-infrared spectroscopy
brain-computer interface
independent component analysis
classification algorithms
resting-state
Online Access:https://ieeexplore.ieee.org/document/8807173/

Internet

https://ieeexplore.ieee.org/document/8807173/

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