title: An improved artifacts removal method for high dimensional EEG.
abstract: Multiple noncephalic electrical sources superpose with brain signals in the recorded EEG. Blind source separation (BSS) methods such as independent component analysis (ICA) have been shown to separate noncephalic artifacts as unique components. However, robust and objective identification of artifact components remains a challenge in practice. In addition, with high dimensional data, ICA requires a large number of observations for stable solutions. Moreover, using signals from long recordings to provide the large observation set might violate the stationarity assumption of ICA due to signal changes over time.
  
  
  
  Instead of decomposing all channels simultaneously, subsets of channels are randomly selected and decomposed with ICA. With reduced dimensionality of the subsets, much less amount of data is required to derive stable components. To characterize each independent component, an artifact relevance index (ARI) is calculated by template matching each component with a model of the artifact. Automatic artifact identification is then implemented based on the statistical distribution of ARI of the numerous components generated.
  
  
  
  The proposed permutation resampling for identification matching (PRIM) method effectively removed eye blink artifacts from both simulated and real EEG.
  
  
  
  The average topomap correlation coefficient between the cleaned EEG and the ground truth is 0.89±0.01 for PRIM, compared with 0.64±0.05 for conventional ICA based method. The average relative root-mean-square error is 0.40±0.01 for PRIM, compared with 0.66±0.10 for conventional method.
  
  
  
  The proposed method overcame limitations of conventional ICA based method and succeeded in removing eye blink artifacts automatically.
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA. Electronic address: jhou@egi.com.
authors.forename: Jidong
authors.initials: J
authors.lastname: Hou
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA.
authors.forename: Kyle
authors.initials: K
authors.lastname: Morgan
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA.
authors.forename: Don M
authors.initials: DM
authors.lastname: Tucker
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA.
authors.forename: Amy
authors.initials: A
authors.lastname: Konyn
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA.
authors.forename: Catherine
authors.initials: C
authors.lastname: Poulsen
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA.
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Tanaka
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA.
authors.forename: Erik W
authors.initials: EW
authors.lastname: Anderson
authors.affiliation: Electrical Geodesics Inc., Eugene, OR 97401, USA.
authors.forename: Phan
authors.initials: P
authors.lastname: Luu
mesh_terms: D000328:Adult; D016477:Artifacts; D001767:Blinking; D001921:Brain / Q000502:physiology; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests; D010363:Pattern Recognition, Automated / Q000379:methods*; D012146:Rest; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors; D055815:Young Adult
keywords: Artifact removal; EEG; ICA; Permutation; Resampling; Template matching