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Annotated real and synthetic datasets for non-invasive foetal electrocardiography post-processing benchmarking

机译：用于非侵入性胎儿心电图后处理基准的注释真实和合成数据集

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摘要

Non-invasive foetal electrocardiography (fECG) can be obtained at different gestational ages by means of surface electrodes applied on the maternal abdomen. The signal-to-noise ratio (SNR) of the fECG is usually low, due to the small size of the foetal heart, the foetal-maternal compartment, the maternal physiological interferences and the instrumental noise. Even after powerful fECG extraction algorithms, a post-processing step could be required to improve the SNR of the fECG signal. In order to support the researchers in the field, this work presents an annotated dataset of real and synthetic signals, which was used for the study “Wavelet Denoising as a Post-Processing Enhancement Method for Non-Invasive Foetal Electrocardiography” [1]. Specifically, 21 15 s-long fECG, dual-channel signals obtained by multi-reference adaptive filtering from real electrophysiological recordings were included. The annotation of the foetal R peaks by an expert cardiologist was also provided. Recordings were performed on 17 voluntary pregnant women between the 21st and the 27th week of gestation. The raw recordings were also included for the researchers interested in applying a different fECG extraction algorithm. Moreover, 40 10 s-long synthetic non-invasive fECG were provided, simulating the electrode placement of one of the abdominal leads used for the real dataset. The annotation of the foetal R peaks was also provided, as generated by the FECGSYN tool used for the signals’ creation. Clean fECG signals were also included for the computation of indexes of signal morphology preservation. All the signals are sampled at 2048 Hz. The data provided in this work can be used as a benchmark for fECG post-processing techniques but can also be used as raw signals for researchers interested in foetal QRS detection algorithms and fECG extraction methods.
机译：通过施加在母体腹部的表面电极，可以在不同的妊娠期处获得非侵入性胎儿心电图（FECG）。由于胎儿的尺寸小，胎儿覆盖物，母体生理干扰和仪器噪声，FECG的信噪比（SNR）通常是低的。即使在强大的FECG提取算法之后，可能需要后处理步骤来改善FECG信号的SNR。为了支持该领域的研究人员，这项工作介绍了实际和合成信号的注释数据集，用于研究“小波去噪，作为非侵入性胎儿心电图的后处理增强方法”[1]。具体地，包括由来自真实电生理记录的多参考自适应滤波获得的21 15s-Long FECG的双通道信号。还提供了专家心理学家胎儿R峰的注释。在妊娠21世纪和第27周之间对17名自愿孕妇进行了录音。还包括对应用不同FECG提取算法的研究人员的原始录音。此外，提供了40个10倍的合成非侵入性FECG，模拟用于实时数据集的腹部引线之一的电极放置。还提供了由用于信号创建的FECGSYN工具产生的胎儿R峰值的注释。还包括清洁的FECG信号，用于计算信号形态保存的指标。所有信号都在2048Hz上进行采样。本工作中提供的数据可用作FECG后处理技术的基准，但也可以用作对胎儿QRS检测算法和FECG提取方法感兴趣的研究人员的原始信号。

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