Linked Life Data

21633251

Source:http://linkedlifedata.com/resource/pubmed/id/21633251

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2011-6-2
pubmed:abstractText
Artifact is present when electrical potentials that are not brain derived are recorded on the EEG and is commonly encountered during interpretation. Many artifacts obscure the tracing, while others reflect physiologic functions that are crucial for routine visual analysis. Both physiologic and nonphysiologic sources of artifact may act as source of confusion with abnormality and lead to misinterpretation. Identifying the mismatch between potentials that are generated by the brain from activity that does not conform to a realistic head model is the foundation for recognizing artifact. Electroencephalographers are challenged with the task of correct interpretations among the many artifacts that could potentially be misleading, resulting in an incorrect diagnosis and treatment that may adversely impact patient care. Despite advances in digital EEG, artifact identification, recognition, and elimination are essential for correct interpretation of the EEG. The authors discuss recording concepts for interpreting EEG that contains artifact.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1537-1603
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
28
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
252-63
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Artifact and recording concepts in EEG.
pubmed:affiliation
Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida 32224, USA. tatum.william@mayo.edu
pubmed:publicationType
Journal Article