Classification of the long QT syndrome based on discriminant analysis of T-wave morphology

J. J. Struijk*, J. K. Kanters, M. P. Andersen, T. Hardahl, C. Graff, M. Christiansen, E. Toft

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

4 Citations (Scopus)

Abstract

The Long QT Syndrome (LQTS) is a genetic disorder, characterized by a long QT interval in the ECG, due to abnormal cardiac repolarization. Apart from the QT interval, various parameters, describing T-wave morphology, have been shown to have diagnostic value, but no single ECG parameter has been sufficient. In this study we present a method for discrimination among normal genotypes and mutations in the KCNQ1 (KvLQT1) and KCNH2 (HERG) genes using parameters describing T-wave morphology in terms of duration, asymmetry, flatness and amplitude. Discriminant analyses based on 3, 4, 5, or 6 parameters all resulted in perfect discrimination in a learning set of 22 subjects with respectively 3, 3, 2, and 3 misclassifications in an evaluation set of 17 subjects. In a combined learning set of all 39 subjects both the 5 and 6 parameter classifiers resulted in a single misclassification.

Original languageEnglish
Title of host publicationComputers in Cardiology, 2005
Number of pages4
Volume32
Publication date1 Dec 2005
Pages511-514
Article number1588150
ISBN (Print)0780393376, 9780780393370
DOIs
Publication statusPublished - 1 Dec 2005
EventComputers in Cardiology, 2005 - Lyon, France
Duration: 25 Sep 200528 Sep 2005

Conference

ConferenceComputers in Cardiology, 2005
Country/TerritoryFrance
CityLyon
Period25/09/200528/09/2005

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