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

doi:10.1109/CIC.2005.1588150

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 af dette arbejde

4 Citationer (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.

Originalsprog	Engelsk
Titel	Computers in Cardiology, 2005
Antal sider	4
Vol/bind	32
Publikationsdato	1 dec. 2005
Sider	511-514
Artikelnummer	1588150
ISBN (Trykt)	0780393376, 9780780393370
DOI	https://doi.org/10.1109/CIC.2005.1588150
Status	Udgivet - 1 dec. 2005
Begivenhed	Computers in Cardiology, 2005 - Lyon, Frankrig Varighed: 25 sep. 2005 → 28 sep. 2005

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Konference	Computers in Cardiology, 2005
Land/Område	Frankrig
By	Lyon
Periode	25/09/2005 → 28/09/2005

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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.",

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AU - Struijk, J. J.

AU - Kanters, J. K.

AU - Andersen, M. P.

AU - Hardahl, T.

AU - Graff, C.

AU - Christiansen, M.

AU - Toft, E.

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

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