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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

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. Bind 32 2005. s. 511-514 1588150.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Struijk, JJ, Kanters, JK, Andersen, MP, Hardahl, T, Graff, C, Christiansen, M & Toft, E 2005, Classification of the long QT syndrome based on discriminant analysis of T-wave morphology. i Computers in Cardiology, 2005. bind 32, 1588150, s. 511-514, Computers in Cardiology, 2005, Lyon, Frankrig, 25/09/2005. https://doi.org/10.1109/CIC.2005.1588150

APA

Struijk, J. J., Kanters, J. K., Andersen, M. P., Hardahl, T., Graff, C., Christiansen, M., & Toft, E. (2005). Classification of the long QT syndrome based on discriminant analysis of T-wave morphology. I Computers in Cardiology, 2005 (Bind 32, s. 511-514). [1588150] https://doi.org/10.1109/CIC.2005.1588150

Vancouver

Struijk JJ, Kanters JK, Andersen MP, Hardahl T, Graff C, Christiansen M o.a. Classification of the long QT syndrome based on discriminant analysis of T-wave morphology. I Computers in Cardiology, 2005. Bind 32. 2005. s. 511-514. 1588150 https://doi.org/10.1109/CIC.2005.1588150

Author

Struijk, J. J. ; Kanters, J. K. ; Andersen, M. P. ; Hardahl, T. ; Graff, C. ; Christiansen, M. ; Toft, E. / Classification of the long QT syndrome based on discriminant analysis of T-wave morphology. Computers in Cardiology, 2005. Bind 32 2005. s. 511-514

Bibtex

@inproceedings{21cf698e410f4a3dacc334c93c642e3e,
title = "Classification of the long QT syndrome based on discriminant analysis of T-wave morphology",
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.",
author = "Struijk, {J. J.} and Kanters, {J. K.} and Andersen, {M. P.} and T. Hardahl and C. Graff and M. Christiansen and E. Toft",
year = "2005",
month = "12",
day = "1",
doi = "10.1109/CIC.2005.1588150",
language = "English",
isbn = "0780393376",
volume = "32",
pages = "511--514",
booktitle = "Computers in Cardiology, 2005",
note = "Computers in Cardiology, 2005 ; Conference date: 25-09-2005 Through 28-09-2005",

}

RIS

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