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首页> 外文期刊>The Japanese journal of physiology >The fetal electrocardiogram by independent component analysis and wavelets.
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The fetal electrocardiogram by independent component analysis and wavelets.

机译：胎儿心电图通过独立分量分析和小波分析。

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Once the fetal electrocardiogram (FECG) waveforms from ECG on the maternal abdomen are detected, the fetal P wave and T wave cannot always be identified by using continuous wavelet transform (CWT). We took noninvasive FECG from the maternal abdomen, extracted it from the maternal electrocardiogram waveforms after an Independent Component Analysis (ICA), and identified the features of those waveforms by using CWT. We also simultaneously analyzed the observed signals by Primary Component Analysis (PCA). FECG has been extracted by ICA from 25 of 30 pregnant women. The fetal P wave and T wave could be identified in 21 of the 25 cases. FECG was extracted by PCA in only one case. ICA is superior to PCA, whose separation quality highly depends on the careful positioning of the electrodes. We believe that after ICA, FECG obtained by the wavelet theory based method will become a powerful tool for the differential diagnosis of fetal arrhythmias.
机译：一旦检测到来自孕妇腹部ECG的胎儿心电图（FECG）波形，就无法始终使用连续小波变换（CWT）来识别胎儿的P波和T波。我们从产妇腹部获取无创性FECG，经过独立成分分析（ICA）后从产妇心电图波形中提取出来，并使用CWT识别了这些波形的特征。我们还通过主成分分析（PCA）同时分析了观察到的信号。 ICA从30名孕妇中的25名孕妇中提取了FECG。 25例病例中有21例可鉴别出胎儿P波和T波。仅在一种情况下，PCA提取了FECG。 ICA优于PCA，后者的分离质量在很大程度上取决于电极的仔细放置。我们相信，在ICA之后，基于小波理论的方法获得的FECG将成为鉴别诊断胎儿心律失常的有力工具。

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