Linked Life Data

12892363

Source:http://linkedlifedata.com/resource/pubmed/id/12892363

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2003-8-1
pubmed:abstractText
Methods for measuring the T-wave dispersion are difficult to improve, because the exact result is unknown. This study describes a flexible and cheap method for analysing the measurement problems. The analysis consisted of measuring the T-wave dispersion of electrocardiograms and vector loops with simulated dispersion. The vector loops were simulated using two primary T-waves that were identical, quasi-monophasic and located in orthogonal leads. The dispersion was the time delay between the primary T-waves. The electrocardiograms were projections of the vector loops on approximations to the orientations of leads in the standard 12-lead ECG. This simulation model was validated by matching simulated ECGs and vector loops with measured ECGs and vector loops drawn from a population of 247 patients with acute myocardial infarction. The analysis of the measurement problems was demonstrated by measuring an approximation to the classical QT-dispersion in ECGs with simulated dispersion in the interval 0-100 ms, in steps of 2 ms. This showed that the QT-dispersion was unable to measure the simulated dispersion accurately in the clinically relevant interval of 50-100 ms. The results indicated that the low prognostic accuracy of the QT-dispersion could be due to an inaccurate measurement method.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0140-0118
pubmed:author
pubmed:issnType
Print
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
410-5
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Evaluation of electrocardiogram T-wave dispersion measurement methods.
pubmed:affiliation
Department of Cardiology, Skejby University Hospital, Aarhus, Denmark. kasparlund@bigfoot.com
pubmed:publicationType
Journal Article