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A bootstrap procedure for classifying QRST integral maps

机译:用于对QRST积分图进行分类的引导程序

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The analysis of beat-to-beat variability of QRST integral maps (V-IM) enabled the authors to detect specific changes of the cardiac potential field in hypertrophic subjects with high arrhythmia vulnerability. A classification of QRST integral maps was attempted by splitting the variability of maps into various components, submitting experimental data to linear discriminant analysis (ADL) and estimating the relative bias by means of a bootstrap procedure. The definition of V-IM makes it possible to consider time- and space-dependent effects. ADL was applied to two components of V-IM relating to the scale and shape of the signals, and a correct classification was achieved in 100% of the cases.
机译:对QRST积分图(V-IM)逐搏变异性的分析使作者能够检测出具有高心律失常易感性的肥厚型受试者心脏电势场的特定变化。尝试通过将图的可变性划分为各个组成部分,将实验数据提交到线性判别分析(ADL)并通过自举程序估算相对偏差来对QRST积分图进行分类。 V-IM的定义可以考虑时间和空间相关的影响。将ADL应用于与信号的大小和形状有关的V-IM的两个分量,并且在100%的情况下实现了正确的分类。

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