Linked Life Data

15977744

Source:http://linkedlifedata.com/resource/pubmed/id/15977744

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2005-6-27
pubmed:abstractText
In this paper, we apply independent component analysis to fetal magnetocardiographic data. In particular, we propose an extension of the "cumulant-based iterative inversion" algorithm to include a two-step "signal subspace" subdivision, which allows the user to control the number of components to be estimated by analyzing the eigenvalues distribution in an interactive way. Our results show that this method is a powerful means not only for the extraction of the cardiac signals from the background noise but also for a sharp separation of the baby's heart from the mother's.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0018-9294
pubmed:author
pubmed:issnType
Print
pubmed:volume
52
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1140-2
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separation.
pubmed:affiliation
MEG Unit (ISTC-CNR), San Giovanni Calibita-Fatebenefratelli Hospital, Isola Tiberina, 00186 Rome, Italy. carlo.salustri@istc.cnr.it
pubmed:publicationType
Journal Article, Clinical Trial