Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition
Author:
Affiliation:
1. Florida Atlantic University,Department of Psychology,Boca Raton,USA
2. Florida Atlantic University,Department of Computer and Electrical Engineering and Computer Science,Boca Raton,USA
Funder
Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945539.pdf?arnumber=9945539
Reference15 articles.
1. Recommendations for motion correction of infant fNIRS data applicable to multiple data sets and acquisition systems
2. On the other hand: Increased cortical activation to human versus mechanical hands in infants
3. Some mathematical notes on three-mode factor analysis
4. Tensor decompositions for feature extraction and classification of high dimensional datasets
5. Selecting the optimal conditions of Savitzky–Golay filter for fNIRS signal
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