Parallel factor analysis for multidimensional decomposition of functional near-infrared spectroscopy data.

Alejandra Hüsser Laura Caron-Desrochers Julie TremblayPhetsamone VannasingEduardo Martínez-MontesAnne Gallagher

Published in: Neurophotonics (2022)

This study describes the first implementation of PARAFAC in fNIRS and provides validation for its use to correct artifacts. PARAFAC is a promising data-driven alternative for multidimensional data analyses in fNIRS and this study paves the way for further applications.

Keyphrases

electronic health record
healthcare
big data
computed tomography
machine learning
magnetic resonance
data analysis
deep learning
psychometric properties
image quality