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用于在胎儿心电图中衰减母亲心电图的频域模板减法方法。

Frequency Domain Template Subtraction Approach to Attenuate Maternal Electrocardiogram in Fetal Electrocardiogram.

作者信息

Wang Susan, Roshanitabrizi Pooneh, Krishnan Anita, Govindan R B

机构信息

Division of Cardiology, Children's National Hospital, Washington, DC 20010, USA;

Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA;

出版信息

NeuroSci. 2024 May 25;5(2):184-191. doi: 10.3390/neurosci5020013. eCollection 2024 Jun.

Abstract

We develop a frequency domain template subtraction approach to attenuate the maternal ECG in the abdominal ECG measured from pregnant women. The proposed approach was tested on five public fetal ECG datasets simultaneously measured with ECG from the fetal scalp. The method's performance was compared with the template subtraction approach in the time domain using the accuracy and association metrics. The accuracy was calculated by counting the number of fetal complexes in the processed data that coincided with the fetal complexes in the scalp fetal ECG. The association is quantified as the coherence between the processed data and the gold standard. The maximum coherence values calculated for each approach were compared using the paired -test. Our results showed no difference in the accuracy between the frequency and time domain approach ( = 0.733). However, the association was higher between the frequency domain data and the gold standard compared to the template subtraction data and the gold standard ( = 0.049), indicating that the frequency domain approach yielded a signal that resembled that of the scalp ECG compared to the time domain approach.

摘要

我们开发了一种频域模板减法方法,以衰减从孕妇测量的腹部心电图中的母体心电图。所提出的方法在五个与胎儿头皮心电图同时测量的公共胎儿心电图数据集上进行了测试。使用准确性和关联性指标,将该方法的性能与时域模板减法方法进行了比较。准确性是通过计算处理后数据中与头皮胎儿心电图中的胎儿复合波一致的胎儿复合波数量来计算的。关联性被量化为处理后数据与金标准之间的相干性。使用配对检验比较了每种方法计算出的最大相干值。我们的结果表明,频域方法和时域方法在准确性上没有差异( = 0.733)。然而,与模板减法数据和金标准相比,频域数据与金标准之间的关联性更高( = 0.049),这表明与时域方法相比,频域方法产生的信号更类似于头皮心电图的信号。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1442/11467962/fef42befc350/neurosci-05-00013-g001.jpg

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