Classification of the long QT syndrome based on discriminant analysis of T-wave morphology
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Classification of the long QT syndrome based on discriminant analysis of T-wave morphology. / Struijk, J. J.; Kanters, J. K.; Andersen, M. P.; Hardahl, T.; Graff, C.; Christiansen, M.; Toft, E.
Computers in Cardiology, 2005. Vol. 32 2005. p. 511-514 1588150.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Classification of the long QT syndrome based on discriminant analysis of T-wave morphology
AU - Struijk, J. J.
AU - Kanters, J. K.
AU - Andersen, M. P.
AU - Hardahl, T.
AU - Graff, C.
AU - Christiansen, M.
AU - Toft, E.
PY - 2005/12/1
Y1 - 2005/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33847132824&partnerID=8YFLogxK
U2 - 10.1109/CIC.2005.1588150
DO - 10.1109/CIC.2005.1588150
M3 - Article in proceedings
AN - SCOPUS:33847132824
SN - 0780393376
SN - 9780780393370
VL - 32
SP - 511
EP - 514
BT - Computers in Cardiology, 2005
T2 - Computers in Cardiology, 2005
Y2 - 25 September 2005 through 28 September 2005
ER -
ID: 204299313