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利用心内膜电图形态识别室性心动过速。

Identification of ventricular tachycardia with use of the morphology of the endocardial electrogram.

作者信息

Langberg J J, Gibb W J, Auslander D M, Griffin J C

机构信息

Department of Medicine, University of California, San Francisco 94143-0214.

出版信息

Circulation. 1988 Jun;77(6):1363-9. doi: 10.1161/01.cir.77.6.1363.

Abstract

Currently available antitachycardia devices rely primarily on timing information to define abnormal rhythms. It would be useful to have more specific means of automatically identifying pathologic tachycardias. Using unfiltered (0.04 to 500 Hz bandpass) recordings made during electrophysiologic testing in 10 patients with ventricular tachycardia (VT), we studied the differences in electrogram morphology during sinus rhythm and VT. Signals were digitized at 1 kHz. A template of a normal sinus rhythm electrogram was created for each patient by averaging five sinus complexes from the beginning of each study. Ten sinus electrograms just before the onset of VT and 10 electrograms during stable monomorphic VT were compared with this template. The difference in morphology between a given electrogram and its template was quantitated by superimposing the two signals and measuring the area between the curves. There was no overlap in the ranges of these "area of the difference" measurements between sinus and VT electrograms from any of the 10 patients studied, including four with intraventricular conduction disturbances. In contrast, discrete features of the signal, including peak amplitude and maximum dV/dt, did not reliably differentiate sinus from VT electrograms. Bandpass filtering, sample window size, and digitizing rate were manipulated to determine the minimal signal content necessary for the area of difference method to reliably identify VT. These interventions suggest that the low-frequency far-field portion of the signal is primarily responsible for the morphologic differences between sinus and VT electrograms. In conclusion, the morphology of VT electrograms in man is consistently and distinctly different from the morphology of sinus electrograms.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

目前可用的抗心动过速装置主要依靠时间信息来定义异常节律。拥有更具体的自动识别病理性心动过速的方法将会很有用。我们利用10例室性心动过速(VT)患者在电生理检查期间进行的未滤波(0.04至500Hz带通)记录,研究了窦性心律和室性心动过速期间心电图形态的差异。信号以1kHz进行数字化处理。通过对每项研究开始时的五个窦性复合波进行平均,为每位患者创建一个正常窦性心律心电图模板。将室性心动过速发作前的十个窦性心电图和稳定单形性室性心动过速期间的十个心电图与该模板进行比较。通过叠加两个信号并测量曲线之间的面积,对给定心电图与其模板之间的形态差异进行定量分析。在所研究的10例患者(包括4例伴有室内传导障碍的患者)中,窦性和室性心动过速心电图的这些“差异面积”测量范围没有重叠。相比之下,信号的离散特征,包括峰值幅度和最大dV/dt,并不能可靠地区分窦性和室性心动过速心电图。对带通滤波、采样窗口大小和数字化率进行了操作,以确定差异面积法可靠识别室性心动过速所需的最小信号内容。这些干预措施表明,信号的低频远场部分主要导致窦性和室性心动过速心电图之间的形态差异。总之,人类室性心动过速心电图的形态与窦性心电图的形态始终存在明显差异。(摘要截短于250字)

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