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March 31, 2026Biomedical Signal Processing and Control2 citations

A review of deep learning methods for non-invasive fetal electrocardiography

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ZHZhen-Zhen HuangWZWeitao ZhangYLYang Li

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Huang et al. (2026) studied this question.

synapsesocial.com/papers/6a025c68edf6f481385945f5https://doi.org/10.1016/j.bspc.2026.110124
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1U-Net: Convolutional Networks for Biomedical Image Segmentation2015 · 92,248 citations
  2. 2Enhancing Fetal Electrocardiogram Signal Extraction Accuracy through a CycleGAN Utilizing Combined CNN–BiLSTM Architecture2024 · 16 citations
  3. 3Res-UNet Based Fetal Electrocardiogram Extraction via Time-Frequency Representation2023 · 1 citations
  4. 4Dual-Path Neural Networks Enabled Fetal ECG Extractions From Abdominal Electrohysterograpgy2023 · 1 citations
  5. 5Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model2023 · 28 citations