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- W3128287990 abstract "Non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from maternal ECG (MECG) is a blind source separation problem, which is hard due to the low amplitude of FECG, the overlap of R waves, and the potential exposure to noise from different sources. Traditional decomposition techniques, such as adaptive filters, require tuning, alignment, or pre-configuration, such as modeling the noise or desired signal. to map MECG to FECG efficiently. The high correlation between maternal and fetal ECG parts decreases the performance of convolution layers. Therefore, the masking region of interest using the attention mechanism is performed for improving signal generators' precision. The sine activation function is also used since it could retain more details when converting two signal domains. Three available datasets from the Physionet, including AD thus, the proposed algorithm has the potential of being used for high-performance signal-to-signal conversion." @default.
- W3128287990 created "2021-02-15" @default.
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- W3128287990 date "2020-11-22" @default.
- W3128287990 modified "2023-09-27" @default.
- W3128287990 title "Fetal ECG Extraction from Maternal ECG using Attention-based CycleGAN" @default.
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