17584700

Source:http://linkedlifedata.com/resource/pubmed/id/17584700

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0184511, umls-concept:C0524637, umls-concept:C0750197, umls-concept:C2699740
pubmed:dateCreated	2007-6-22
pubmed:abstractText	We present the improved method of recognition of sustained ventricular tachycardia (SVT) based on new filtering technique (FIR), extended signal-averaged electrocardiography (SAECG) description by 9 parameters and the application of support vector machine (SVM) classifier.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101095069
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jul
pubmed:issn	1302-8723
pubmed:author	pubmed-author:JankowskiStanislawS, pubmed-author:OreziakArturA, pubmed-author:Piatkowska-JankoEwaE, pubmed-author:SzymanskiZbigniewZ
pubmed:issnType	Print
pubmed:volume	7 Suppl 1
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	112-5
pubmed:meshHeading	pubmed-meshheading:17584700-Electrocardiography, pubmed-meshheading:17584700-Humans, pubmed-meshheading:17584700-Myocardial Infarction, pubmed-meshheading:17584700-Predictive Value of Tests, pubmed-meshheading:17584700-Signal Processing, Computer-Assisted, pubmed-meshheading:17584700-Tachycardia, Ventricular
pubmed:year	2007
pubmed:articleTitle	Improved recognition of sustained ventricular tachycardia from SAECG by support vector machine.
pubmed:affiliation	From Institute of Electronic Systems, Warsaw University of Technology, Warsaw, Poland. sjank@ise.pw.edu.pl
pubmed:publicationType	Journal Article, Controlled Clinical Trial