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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
|
pubmed:dateCreated |
1995-3-24
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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
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pubmed:journal | |
pubmed:citationSubset |
AIM
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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
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pubmed:meshHeading |
pubmed-meshheading:7867191-Electrocardiography,
pubmed-meshheading:7867191-Humans,
pubmed-meshheading:7867191-Quality Assurance, Health Care,
pubmed-meshheading:7867191-Sensitivity and Specificity,
pubmed-meshheading:7867191-Signal Processing, Computer-Assisted,
pubmed-meshheading:7867191-Tachycardia, Ventricular,
pubmed-meshheading:7867191-Time Factors
|
pubmed:year |
1995
|
pubmed:articleTitle |
Optimal filtering and quality control of the signal-averaged ECG. High-fidelity 1-minute recordings.
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pubmed:affiliation |
University of Oklahoma Health Sciences Center, Department of Medicine, Oklahoma City 73104.
|
pubmed:publicationType |
Journal Article,
Comparative Study
|