title: Automated artifact removal from the electroencephalogram: a comparative study.
abstract: Contamination of the electroencephalogram (EEG) by artifacts greatly reduces the quality of the recorded signals. There is a need for automated artifact removal methods. However, such methods are rarely evaluated against one another via rigorous criteria, with results often presented based upon visual inspection alone. This work presents a comparative study of automatic methods for removing blink, electrocardiographic, and electromyographic artifacts from the EEG. Three methods are considered; wavelet, blind source separation (BSS), and multivariate singular spectrum analysis (MSSA)-based correction. These are applied to data sets containing mixtures of artifacts. Metrics are devised to measure the performance of each method. The BSS method is seen to be the best approach for artifacts of high signal to noise ratio (SNR). By contrast, MSSA performs well at low SNRs but at the expense of a large number of false positive corrections.
authors.affiliation: Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria.
authors.forename: Ian
authors.initials: I
authors.lastname: Daly
authors.forename: Nicoletta
authors.initials: N
authors.lastname: Nicolaou
authors.forename: Slawomir Jaroslaw
authors.initials: SJ
authors.lastname: Nasuto
authors.forename: Kevin
authors.initials: K
authors.lastname: Warwick
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000503:physiopathology*; D003627:Data Interpretation, Statistical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D058067:Wavelet Analysis
keywords: Automated artifact removal; Blind source separation (BSS); Independent component analysis (ICA); Multivariate singular spectrum analysis (MSSA); Temporal de-correlation source separation (TDSEP); Wavelets