Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2004-4-6
pubmed:abstractText
To propose a noise reduction procedure for magnetoencephalography (MEG) signals introducing an automatic detection system of artifactual components (ICs) separated by an independent component analysis (ICA) algorithm, and a control cycle on reconstructed cleaned data to recovery part of non-artifactual signals possibly lost by the blind mechanism.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1388-2457
pubmed:author
pubmed:issnType
Print
pubmed:volume
115
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1220-32
pubmed:dateRevised
2008-9-10
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals.
pubmed:affiliation
Department of Neuroscience, AFaR - Center of Medical Statistics and Information Technology, Fatebenefratelli Hospital, Isola Tiberina, Lungotevere degli Anguillara 12, 00153 Rome, Italy. giulia.barbati@afar.it
pubmed:publicationType
Journal Article