On the derivation of the spatial QRS-T angle from Mason-Likar leads I, II, V2 and V5

D. Guldenring, D. Finlay, R. Bond, Alan Kennedy, J. Mclaughlin
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Abstract

The spatial QRS-T angle (SA) has been identified as a marker for changes in the ventricular depolarization and repolarization sequence. The determination of the SA requires vectorcardiographic (VCG) data. However, VCG data is seldom recorded in monitoring applications. This is mainly due to the fact that the number and location of the electrodes required for recording the Frank VCG complicate the recording of VCG data in monitoring applications. Alternatively, reduced lead systems (RLS) allow for the derivation of the Frank VCG from a reduced number of electrocardiographic (ECG) leads. Derived Frank VCGs provide a practical means for the determination of the SA in monitoring applications. One widely studied RLS that is used in clinical practice is based upon Mason-Likar leads I, II, V2 and V5 (MLRL). The aim of this research was two-fold. First, to develop a linear ECG lead transformation matrix that allows for the derivation of the Frank VCG from the MLRL system. Second, to assess the accuracy of the MLRL derived SA (MSA). We used ECG data recorded from 545 subjects for the development of the linear ECG lead transformation matrix. The accuracy of the MSA was assessed by analyzing the differences between the MSA and the SA using the ECG data of 181 subjects. The differences between the MSA and the SA were quantified as systematic error (mean difference) and random error (span of Bland-Altman 95% limits of agreement). The systematic error between the MSA and the SA was found to be 9.38° [95% confidence interval: 7.03° to 11.74°]. The random error was quantified as 62.97° [95% confidence interval: 56.55° to 70.95°].
Mason-Likar引线I、II、V2和V5空间QRS-T角的推导
空间QRS-T角(SA)被认为是心室去极化和复极化序列变化的标志。SA的测定需要矢量心动图(VCG)数据。然而,在监测应用中很少记录VCG数据。这主要是由于记录Frank VCG所需的电极的数量和位置使监测应用中VCG数据的记录复杂化。另外,减少导联系统(RLS)允许从减少数量的心电图(ECG)导联中推导出弗兰克VCG。推导出的Frank vcg为监测应用中SA的测定提供了一种实用的方法。在临床实践中广泛研究的一种RLS是基于Mason-Likar导联I, II, V2和V5 (MLRL)。这项研究的目的是双重的。首先,开发一个线性ECG导联变换矩阵,允许从MLRL系统推导Frank VCG。其次,评估MLRL衍生SA (MSA)的准确性。我们使用545名受试者的心电图数据来建立线性心电图导联变换矩阵。利用181例受试者的心电图资料,分析MSA与SA的差异,评估MSA的准确性。MSA与SA之间的差异被量化为系统误差(平均差)和随机误差(Bland-Altman 95%一致限的跨度)。MSA与SA之间的系统误差为9.38°[95%置信区间:7.03°~ 11.74°]。随机误差量化为62.97°[95%置信区间:56.55°~ 70.95°]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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