Linked Life Data

16941831

Source:http://linkedlifedata.com/resource/pubmed/id/16941831

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2006-8-31
pubmed:abstractText
This paper proposes a novel prewhitening eigenspace beamformer suitable for magnetoencephalogram (MEG) source reconstruction when large background brain activities exist. The prerequisite for the method is that control-state measurements, which contain only the contributions from the background interference, be available, and that the covariance matrix of the background interference can be obtained from such control-state measurements. The proposed method then uses this interference covariance matrix to remove the influence of the interference in the reconstruction obtained from the target measurements. A numerical example, as well as applications to two types of MEG data, demonstrates the effectiveness of the proposed method.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0018-9294
pubmed:author
pubmed:issnType
Print
pubmed:volume
53
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1755-64
pubmed:dateRevised
2011-5-23
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist.
pubmed:affiliation
Department of Systems Design and Engineering, Tokyo Metropolitan University, Japan. ksekiha@cc.tmit.ac.jp
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural