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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >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.

机译:基于T波形态学判别分析的长QT综合征分类。

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摘要

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.
机译:长QT综合征(LQTS)是一种遗传性疾病,通常表现为由于异常的心脏复极导致的ECG QT间隔延长。 LQTS可能导致晕厥发作和心源性猝死。已经显示出基于T波形态的各种参数以及QT间隔本身是有用的判别器,但是没有一个单独的ECG参数足以解决诊断问题。在这项研究中,我们根据描述T波形态的参数,提出了一种区分正常基因型和KCNQ1(KvLQT1或LQT1)和KCNH2(HERG或LQT2)基因突变的人的方法,不对称,平坦度和振幅。基于4或5个参数的判别分析均导致对36个主题的学习集中的完美判别。在这两种情况下,对所得分类器的交叉验证均未显示错误分类。

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