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一种评估 QT 间期动力学中有界输入有界输出不稳定性的新方法:在伴有室性心动过速的临床 ECG 中的应用。

A novel methodology for assessing the bounded-input bounded-output instability in QT interval dynamics: application to clinical ECG with ventricular tachycardia.

机构信息

Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA.

出版信息

IEEE Trans Biomed Eng. 2012 Aug;59(8):2111-7. doi: 10.1109/TBME.2011.2170837. Epub 2011 Oct 6.

Abstract

The goal of this paper is to present a new methodology for assessing the bounded-input bounded-output (BIBO) stability in QT interval (QTI) dynamics from clinical ECG. The ECG recordings were collected from 15 patients who experienced ventricular tachycardia (VT). Ten-minute-long ECG recordings extracted immediately before the onset of a chosen VT, one per patient, were assembled into a VT group, while the control group comprised 10-min-long ECGs extracted 1 h before VT onset and at least 1 h after any prior arrhythmic event. Each 10-min recording was subdivided into 1-min ECG recordings (minECGs). The QTI dynamics of each minECG was defined as a function of several prior QTIs and RR intervals; the BIBO stability of this function was then assessed in the z -domain. The number of minECGs with unstable QTI dynamics (N (us)) and the frequency of premature activations (PA),  f (PA) , were counted for each ECG recording and were compared between the VT and control groups. The results show that the present methodology successfully captured the instability in QTI dynamics leading to VT onset in the studied population. Significantly larger N (us) was found in the VT group compared against the control and a positive correlation between N (us) and f (PA) was identified in both groups.

摘要

本文旨在提出一种新的方法,用于评估从临床心电图(ECG)中 QT 间期(QTI)动力学的有界输入有界输出(BIBO)稳定性。从经历室性心动过速(VT)的 15 名患者中收集 ECG 记录。每个患者选择一个 VT 发作前的 10 分钟 ECG 记录,将其组装成 VT 组,而对照组由 10 分钟的 ECG 组成,这些 ECG 在 VT 发作前 1 小时提取,并且在任何先前的心律失常事件后至少 1 小时提取。每个 10 分钟的记录都细分为 1 分钟的 ECG 记录(minECG)。每个 minECG 的 QTI 动力学被定义为几个先前的 QTIs 和 RR 间隔的函数;然后在 z 域中评估此函数的 BIBO 稳定性。对于每个 ECG 记录,计算不稳定 QTI 动力学的 minECG 数量(N(us))和过早激活(PA)的频率(f(PA)),并在 VT 和对照组之间进行比较。结果表明,本方法成功地捕捉到了导致研究人群 VT 发作的 QTI 动力学不稳定性。与对照组相比,VT 组的 N(us)明显更大,并且在两组中都发现了 N(us)和 f(PA)之间的正相关关系。

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