用小波变换描绘腹部信号的脑电图

2014 International Conference and Exposition on Electrical and Power Engineering (EPE) Pub Date : 2014-12-04 DOI:10.1109/ICEPE.2014.6969962

B. Hurezeanu, G. Ungureanu, D. Taralunga, R. Strungaru, I. Gussi, W. Wolf

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引用次数: 2

摘要

胎儿心电图(fECG)从腹部信号中获得的分析可能是一项困难的任务，因为感兴趣的信号是一个弱信号，隐藏在几个其他信号成分中。利用腹部信号(ADS)对胎儿状况进行自动评估是临床医生的重要工具，但由于其高噪声和考虑到fECG形态学的变化，其实现相当困难。目前的研究提出了一种小波分析方法来识别其循环特征。

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FECG delineation from abdominal signals using wavelet transform

Analysis of the fetal electrocardiogram (fECG) obtained from abdominal signals can be a difficult task as the signal of interest is a weak signal, buried in several other signal components. Automatic assessment of fetus condition using abdominal signals (ADS) can be an important tool for clinicians, but, due to the high noise and considering the variation of the fECG morphology, its implementation is rather difficult. The current study proposes a wavelet approach for fECG analysis, which identifies its cyclic features.

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2014 International Conference and Exposition on Electrical and Power Engineering (EPE)

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