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

Research output: Contribution to journalJournal articleResearchpeer-review

Johannes J. Struijk, Jørgen K. Kanters, M P Andersen, Thomas Bork Hardahl, Claus Graff, M Christiansen, E Toft

The long QT syndrome (LQTS) is a genetic disorder, typically characterized by a prolonged QT interval in the ECG due to abnormal cardiac repolarization. LQTS may lead to syncopal episodes and sudden cardiac death. Various parameters based on T-wave morphology, as well as the QT interval itself have been shown to be useful discriminators, but no single ECG parameter has been sufficient to solve the diagnostic problem. In this study we present a method for discrimination among persons with a normal genotype and those with mutations in the KCNQ1 (KvLQT1 or LQT1) and KCNH2 (HERG or LQT2) genes on the basis of parameters describing T-wave morphology in terms of duration, asymmetry, flatness and amplitude. Discriminant analyses based on 4 or 5 parameters both resulted in perfect discrimination in a learning set of 36 subjects. In both cases cross-validation of the resulting classifiers showed no misclassifications either.
Original languageEnglish
JournalMedical & Biological Engineering & Computing
Volume44
Issue number7
Pages (from-to)543-549
Number of pages7
ISSN0140-0118
DOIs
Publication statusPublished - 1 Jul 2006

    Research areas

  • Adolescent, Adult, Discriminant Analysis, Echocardiography, Ether-A-Go-Go Potassium Channels, Female, Humans, KCNQ1 Potassium Channel, Long QT Syndrome, Male, Middle Aged, Mutation

ID: 1207427