Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI.
Muhammad Enamul Hoque ChowdhuryKaren J. MullingerPaul GloverRichard BowtellPublished in: NeuroImage (2014)
Keyphrases
- detection method
- cost function
- high accuracy
- objective function
- high precision
- clustering method
- dynamic programming
- principal component analysis
- correlation coefficient
- segmentation method
- support vector machine svm
- signal processing
- data sets
- significant improvement
- preprocessing
- computational complexity
- similarity measure
- experimental evaluation
- synthetic data
- genetic algorithm