Document Detail


An automatic identification and removal method for eye-blink artifacts in event-related magnetoencephalographic measurements.
MedLine Citation:
PMID:  18057516     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
While measuring event-related magnetoencephalographic (MEG) signals using visual stimuli, eye blinks were inevitable and generated large magnetic artifacts. Since trials containing eye blinks were excluded from the analyses, the signal-to-noise ratio of the event-related signals was decreased. In this study, we propose a method to identify the eye blink magnetic artifacts and remove them automatically using independent component analysis preprocessed by principal component analysis. The method evaluates the spatiotemporal similarity between independent components and both MEG and electro-oculogram data based on a newly devised cost function. Testing of the method on event-related MEG signals measured by a 306-channel whole-head system in a visual perception task led to the successful identification and removal of eye-blink artifacts in all trials containing eye blinks from all the seven subjects.
Authors:
Y Okada; J Jung; T Kobayashi
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-10-31
Journal Detail:
Title:  Physiological measurement     Volume:  28     ISSN:  0967-3334     ISO Abbreviation:  Physiol Meas     Publication Date:  2007 Dec 
Date Detail:
Created Date:  2007-12-06     Completed Date:  2008-04-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  1523-32     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering, Graduate School of Engineering, Kyoto University, Kyotodaigaku-katsura, Nishikyo-ku, Kyoto 615-8510, Japan.
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MeSH Terms
Descriptor/Qualifier:
Adult
Artifacts*
Blinking*
Brain / physiology
Data Interpretation, Statistical
Electrooculography
Eye Movements
Factor Analysis, Statistical
Humans
Magnetoencephalography / methods*,  statistics & numerical data
Male
Pattern Recognition, Automated
Principal Component Analysis
Reproducibility of Results
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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