Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1995-3-24
pubmed:abstractText
The clinical performance of the signal-averaged ECG (SAECG) for prediction of ventricular tachycardia (VT) depends on its quality, or final noise level. However, signal averaging is a statistical estimation procedure that is time-consuming and vulnerable to noise-induced error. The optimally filtered SAECG is proposed as a simple, quality-assured procedure requiring only 1 minute of data.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0009-7322
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
91
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1495-505
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Optimal filtering and quality control of the signal-averaged ECG. High-fidelity 1-minute recordings.
pubmed:affiliation
University of Oklahoma Health Sciences Center, Department of Medicine, Oklahoma City 73104.
pubmed:publicationType
Journal Article, Comparative Study