title: Subspace techniques to remove artifacts from EEG: a quantitative analysis.
abstract: In this work we discuss and apply projective subspace techniques to both multichannel as well as single channel recordings. The single-channel approach is based on singular spectrum analysis(SSA) and the multichannel approach uses the extended infomax algorithm which is implemented in the opensource toolbox EEGLAB. Both approaches will be evaluated using artificial mixtures of a set of selected EEG signals. The latter were selected visually to contain as the dominant activity one of the characteristic bands of an electroencephalogram (EEG). The evaluation is performed both in the time and frequency domain by using correlation coefficients and coherence function, respectively.
authors.affiliation: DETI/IEETA-Universidade Aveiro, 3810-193 Aveiro, Portugal.
authors.forename: A R
authors.initials: AR
authors.lastname: Teixeira
authors.forename: A M
authors.initials: AM
authors.lastname: Tome
authors.forename: E W
authors.initials: EW
authors.lastname: Lang
authors.forename: A
authors.initials: A
authors.lastname: Martins da Silva
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003198:Computer Simulation; D003201:Computers; D004569:Electroencephalography / Q000592:standards*; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D009716:Numerical Analysis, Computer-Assisted; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013382:Subtraction Technique