A deep learning approach for the assessment of signal quality of non-invasive foetal electrocardiography
Non-invasive foetal electrocardiography (NI-FECG) has become an important prenatal monitoring method in the hospital. However, due to its susceptibility to non-stationary noise sources and lack of robust extraction methods, the capture of high-quality NI-FECG remains a challenge. Recording waveforms...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
MDPI
2022
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