Gabinete de Tecnología Médica, Facultad de Ingeniería, Universidad Nacional de San Juan (UNSJ), Avenue Libertador General-San Martín 1109 (O)J5400ARL San Juan, Argentina.
Instituto Argentino de Matemática (IAM) "Alberto P. Calderón", Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Instituto de Ingeniería Biomédica (IIBM), Facultad de Ingeniería (FI), Universidad de Buenos Aires (UBA), Buenos Aires, Argentina.
Comput Biol Med. 2014 Jul;50:49-55. doi: 10.1016/j.compbiomed.2014.04.009. Epub 2014 Apr 23.
The novel signal processing techniques have allowed and improved the use of vectorcardiography (VCG) to diagnose and characterize myocardial ischemia. Herein, we studied vectorcardiographic dynamic changes of ventricular repolarization in 80 patients before (control) and during Percutaneous Transluminal Coronary Angioplasty (PTCA).
We propose four vectorcardiographic ST-T parameters, i.e., (a) ST Vector Magnitude Area (aSTVM); (b) T-wave Vector Magnitude Area (aTVM); (c) ST-T Vector Magnitude Difference (ST-TVD), and (d) T-wave Vector Magnitude Difference (TVD). For comparison, the conventional ST-Change Vector Magnitude (STCVM) and Spatial Ventricular Gradient (SVG) were also calculated.
Our results indicate that several vectorcardiographic parameters show significant differences (p-value<0.05) before starting and during PTCA. Statistical minute-by-minute PTCA comparison against the control situation showed that ischemic monitoring reached a sensitivity=90.5% and a specificity=92.6% at the 5th minute of the PTCA, when aSTVM and ST-TVD were used as classifiers.
We conclude that the sensitivity and specificity for acute ischemia monitoring could be increased with the use of only two vectorcardiographic parameters. Hence, the proposed technique based on vectorcardiography could be used in addition to the conventional ST-T analysis for better monitoring of ischemic patients.
新的信号处理技术使得向量心电图(VCG)在诊断和特征化心肌缺血方面的应用得到了改善和提高。在此,我们研究了 80 例患者在经皮腔内冠状动脉成形术(PTCA)前后心室复极的向量心电图动态变化。
我们提出了四个向量心电图 ST-T 参数,即(a)ST 向量幅度面积(aSTVM);(b)T 波向量幅度面积(aTVM);(c)ST-T 向量幅度差(ST-TVD)和(d)T 波向量幅度差(TVD)。为了比较,还计算了传统的 ST-变化向量幅度(STCVM)和空间心室梯度(SVG)。
我们的结果表明,在开始 PTCA 前后,几个向量心电图参数显示出显著差异(p 值<0.05)。与对照情况的每分钟 PTCA 进行统计学比较表明,当使用 aSTVM 和 ST-TVD 作为分类器时,PTCA 的第 5 分钟时,缺血监测的灵敏度达到 90.5%,特异性达到 92.6%。
我们得出结论,使用仅两个向量心电图参数可以提高急性缺血监测的灵敏度和特异性。因此,基于向量心电图的这项技术可以与传统的 ST-T 分析结合使用,以更好地监测缺血患者。