Abstract

In the present work, statistical processing of the electric cardiogram (spectral and bispectral analysis) using the ‘sliding window’ method is proposed and performed. A system for recording and digitizing an electric cardiograms was developed, the output signal of which is fed to a computer. Signal processing is carried out using a system implemented in the LabVIEW environment. It is shown that the time-frequency analysis using the ‘sliding window’ method allows detecting dynamic processes in the work of the human heart, which can go unnoticed in standard analyzes. Research results can be useful for the diagnosis of heart disease.

中文翻译：

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心电图的时频分析

摘要

在当前的工作中，提出并执行了使用“滑动窗口”方法对心电图进行统计处理（频谱和双频谱分析）。开发了一种用于记录心电图并将其数字化的系统，该系统的输出信号被馈送到计算机。使用在LabVIEW环境中实现的系统进行信号处理。结果表明，使用“滑动窗口”方法进行时频分析可以检测人的心脏工作中的动态过程，这在标准分析中可能不会引起注意。研究结果可能对心脏病的诊断有用。