fNIRS motion artifact correction for overground walking using entropy based unbalanced optode decision and wavelet regression neural network

Published: Nov 1, 2017
Abstract
Functional near-infrared spectroscopy (fNIRS) can be employed to investigate brain activation by measuring the absorption of near-infrared light through an intact skull. fNIRS can measure hemoglobin signals, which are similar to functional magnetic resonance imaging (fMRI) blood-oxygen-level-dependent (BOLD) signals. The general linear model (GLM), which is a standard method for fMRI imaging, has been applied for fNIRS imaging analysis. However,...
Paper Details
Title
fNIRS motion artifact correction for overground walking using entropy based unbalanced optode decision and wavelet regression neural network
Published Date
Nov 1, 2017
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