NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies

NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies

Independent component analysis (ICA) is a multivariate approach that has been widely used in analyzing brain imaging data. In the field of functional near-infrared spectroscopy (fNIRS), its promising effectiveness has been shown in both removing noise and extracting neuronal activity-related sources...

Full description

Bibliographic Details
Main Authors: Yang Zhao, Pei-Pei Sun, Fu-Lun Tan, Xin Hou, Chao-Zhe Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Neuroinformatics
Subjects:
functional near-infrared spectroscopy
data processing
multivariate analysis
independent component analysis
blind source separation
MATLAB toolbox
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2021.683735/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2021.683735/full

Similar Items