Employing spatially constrained ICA and wavelet denoising, for automatic removal of artifacts from multichannel EEG data

Signal Processing

Volumn 92, Issue 2, 2012, Pages 401-416

  Akhtar, Muhammad Tahir ^a   Mitsuhashi, Wataru ^a   James, Christopher J ^b  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Artifact removal; EEG; Independent component analysis (ICA); Spatially constrained ICA; Wavelet denoising

Indexed keywords

ARTIFACT REMOVAL; AUTOMATIC REMOVAL; COMPUTER EXPERIMENT; CONSTRAINED ICA; DATA SEGMENT; DE-NOISING; EEG SIGNAL PROCESSING; EEG SIGNALS; ELECTRICAL NOISE; ERROR PRONES; EYE BLINK; INDEPENDENT COMPONENTS; MULTICHANNEL EEG; MUSCLE ACTIVITIES; OBSERVATION INTERVAL; PRE-PROCESSING; SPATIALLY CONSTRAINED ICA; WAVELET DENOISING;

MULTIVARIANT ANALYSIS; NOISE POLLUTION CONTROL; SIGNAL PROCESSING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 80054735370     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2011.08.005     Document Type: Article

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