1 Center for Sensory-Motor Interaction, The Faculty of Medicine, Aalborg University, VBN2 Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, VBN3 Medical Informatics Group, The Faculty of Medicine, Aalborg University, VBN4 unknown5 Aalborg University, VBN6 Forskningscenter for etik i praksis, The Faculty of Humanities, Aalborg University, VBN
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.
Medical and Biological Engineering and Computing, 2006, Vol 44, Issue 7, p. 543-549