Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals

Background Artifacts contained in EEG recordings hamper both, the visual interpretation by experts as well as the algorithmic processing and analysis (e.g. for Brain-Computer Interfaces (BCI) or for Mental State Monitoring). While hand-optimized selection of source components derived from Independen...

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Veröffentlicht in:	Behavioral and brain functions Jg. 7; H. 1; S. 30
Hauptverfasser:	Winkler, Irene, Haufe, Stefan, Tangermann, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 02.08.2011 Springer Nature B.V BMC
Schlagworte:	Adult Aged Behavioral Therapy Biomedical and Life Sciences Biomedicine Electroencephalography - classification Electroencephalography - methods Evoked Potentials, Auditory - physiology Humans Male Methodology Methods Middle Aged Neurology Neurosciences Psychiatry Reaction Time - physiology Signal Processing, Computer-Assisted - instrumentation Spectrum allocation Studies User-Computer Interface Young Adult Source Component Common Spatial Pattern Motor Imagery Principal Component Analysis Component Independent Component Analysis
ISSN:	1744-9081, 1744-9081
Online-Zugang:	Volltext
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