WAVELET-BICOHERENCE OR NORMALIZED WAVELET-BISPECTRUM BASED ANALYZING OF FETAL HEART RHYTHM

O. Viunytskyi, V. Shulgin, A. Totsky, V. Sharonov
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Abstract

processes diagnostics on the analysis of electrocardiograms (ECG). Different be groups: stationary and non-stationary. Stationary signals have statistical and spectral characteristics that are constant over time, for a comprehensive description of which the Fourier transform is sufficient. ECG rhythmogram be attributed to the class of chaotic processes. The of a chaotic process change time, and other be used to analyze their method is wavelet the of work, a method for assessing the fetal heart rhythm, based on extracting an informative feature from the wavelet bicoherence of the rhythmogram.
基于小波双相干或归一化小波双谱的胎儿心律分析
通过分析心电图(ECG)进行诊断。不同的be群:平稳的和非平稳的。平稳信号具有随时间不变的统计和频谱特征,对于傅里叶变换的全面描述是足够的。心电节律图可归为一类混沌过程。一个混沌过程的变化时间,另一个用来分析他们的方法是小波的工作,一种评估胎儿心律的方法,基于提取一个信息特征的小波双相干的心律图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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