HIGHLIGHTS
- who: Shi Cao and colleagues from the School of Biomedical Engineering, Southern Medical, Guangzhou, China have published the research: Morphology extraction of fetal ECG using temporal CNN-based nonlinear adaptive noise cancelling, in the Journal: PLOS ONE of 22/07/2022
- what: The authors propose a novel nonlinear adaptive noise cancelling framework (ANC) based on a temporal convolutional neural network (CNN) to effectively extract fetal signals from mothers` abdominal recordings. Intrauterine hypoxia and congenital heart defects (CHDs) are the main reasons for fetal growth retardation and even death, which is a major risk to the . . .
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