A novel spatiotemporal tool for the automatic classification of fMRI noise based on Independent Component Analysis.
Emma TassiEleonora MaggioniSergio CeruttiPaolo BrambillaAnna Maria BianchiPublished in: EMBC (2020)
Keyphrases
- independent component analysis
- automatic classification
- independent components
- principal component analysis
- factor analysis
- signal processing
- source signals
- automatic detection
- blind source separation
- signal to noise ratio
- single channel
- independent subspace analysis
- noise reduction
- principle component analysis
- data analysis
- source separation
- event related
- mixing matrix
- natural gradient
- image structure
- input output
- brain activity
- missing data
- automatically classify
- blind signal separation