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...

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Detalles Bibliográficos
Autores principales: Mertes, Gert, Long, Yuan, Liu, Zhangdaihong, Li, Yuhui, Yang, Yang, Clifton, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103336/
https://www.ncbi.nlm.nih.gov/pubmed/35591004
http://dx.doi.org/10.3390/s22093303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103336/
https://www.ncbi.nlm.nih.gov/pubmed/35591004
http://dx.doi.org/10.3390/s22093303

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