Slavkovský P, Hulín I
Computing Centre, Slovak Academy of Sciences, Bratislava.
Coron Artery Dis. 1994 Mar;5(3):249-56. doi: 10.1097/00019501-199403000-00011.
The high-frequency contribution (i.e. 60-120 Hz) within the QRS complex of the surface ECG is supposed to be related to the arrhythmogenic substrate underlying sustained ventricular tachycardia in patients with coronary artery disease. One of the factors that prevents a wider clinical application of spectral analysis based on the fast Fourier transform is the considerable intra-individual variability of its results. This study presents a novel alternative approach of frequency-domain analysis, aimed at minimizing this methodological drawback.
The proposed method uses gliding-window fast Fourier transform analysis of the signal-averaged ECG to provide values expressing the area ratio for two predefined frequency ranges (60-120 Hz divided by 0-120 Hz). The term gliding window is derived from the methodological principle by which the window analyzed is moved from the onset of the QRS complex into the ST segment. Values of area ratios obtained for every time instant of the interval of gliding are the basis for construction of curves. These are further analyzed in order to find patterns that characterize abnormal ventricular activation, with special emphasis on the identification of arrhythmogenic correlates.
In a group of 30 healthy subjects, the distribution of area ratio peaks was characterized according to their value and timing. The distribution of area ratio peaks in 43 patients with myocardial infarction differed substantially from the normal distribution in the control group. The amplitude of the peaks and their timing was not related to the occurrence of late ventricular potentials.
The method of gliding-window fast Fourier transform analysis eliminates the variability of results obtained by traditional spectral analysis of the ECG signal. A higher number and a different distribution of high-frequency peaks during the QRS complex in postmyocardial infarction patients reflect abnormal ventricular activation. However, late ventricular potentials are not related to a higher proportion of high frequencies in the corresponding time interval within the terminal QRS complex.
体表心电图QRS波群中的高频成分(即60 - 120赫兹)被认为与冠心病患者持续性室性心动过速的致心律失常基质有关。基于快速傅里叶变换的频谱分析在临床广泛应用的阻碍因素之一是其结果存在相当大的个体内变异性。本研究提出了一种新的频域分析方法,旨在最小化这一方法学缺陷。
所提出的方法使用信号平均心电图的滑动窗口快速傅里叶变换分析,以提供表示两个预定义频率范围(60 - 120赫兹除以0 - 120赫兹)面积比的值。术语“滑动窗口”源自其方法学原理,即所分析的窗口从QRS波群起始处移动至ST段。在滑动区间的每个时刻获得的面积比值是构建曲线的基础。对这些曲线进一步分析以找到表征异常心室激活的模式,特别强调识别致心律失常的相关因素。
在一组30名健康受试者中,根据面积比峰值的值和时间对其分布进行了特征描述。43名心肌梗死患者的面积比峰值分布与对照组的正常分布有很大差异。峰值的幅度及其时间与晚电位的发生无关。
滑动窗口快速傅里叶变换分析方法消除了通过传统心电图信号频谱分析获得的结果的变异性。心肌梗死后患者QRS波群期间高频峰值数量增加且分布不同,反映了异常心室激活。然而,晚电位与终末QRS波群相应时间间隔内较高比例的高频无关。