Lombardi F, Colombo A, Porta A, Baselli G, Cerutti S, Fiorentini C
Istituto di Scienze Biomediche Osp. S. Paolo, Università di Milano, Italy.
Pacing Clin Electrophysiol. 1998 Nov;21(11 Pt 2):2396-400. doi: 10.1111/j.1540-8159.1998.tb01189.x.
To evaluate the dynamic characteristics of the relationship between the RT and RR intervals we analyzed the RR/RTapex variability interaction with a dynamic parametric model whose parameters can be directly estimated from the beat-to-beat series RR and RTapex intervals. The model is designed to separate the fraction of RTapex variability driven by RR changes from that independent of RR variations and to quantify the gain and phase of the relationship between RR and RTapex intervals. The percentage of RTapex variability driven by RR variability was significantly greater in young normal subjects in comparison with postmyocardial infarction patients as well as with age-matched control subjects. This new approach based on the quantification of the RTapex variability dependent and independent of beat-to-beat RR interval changes could be used to quantify the degree of uncoupling between the two signals thus providing a new and noninvasive index of temporal dispersion of ventricular repolarization.
为了评估RR间期与RT间期之间关系的动态特征，我们使用一个动态参数模型分析RR/RTapex变异性相互作用，该模型的参数可直接从逐搏RR和RTapex间期序列中估计。该模型旨在将由RR变化驱动的RTapex变异性部分与独立于RR变化的部分区分开来，并量化RR与RTapex间期之间关系的增益和相位。与心肌梗死后患者以及年龄匹配的对照受试者相比，年轻正常受试者中由RR变异性驱动的RTapex变异性百分比显著更高。这种基于量化依赖和独立于逐搏RR间期变化的RTapex变异性的新方法，可用于量化两个信号之间的解耦程度，从而提供一种新的无创性心室复极时间离散指标。
