A deep learning framework for noninvasive fetal ECG signal extraction

A deep learning framework for noninvasive fetal ECG signal extraction

Introduction: The availability of proactive techniques for health monitoring is essential to reducing fetal mortality and avoiding complications in fetal wellbeing. In harsh circumstances such as pandemics, earthquakes, and low-resource settings, the incompetence of many healthcare systems worldwide...

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Bibliographic Details
Main Authors: Maisam Wahbah, M. Sami Zitouni, Raghad Al Sakaji, Kiyoe Funamoto, Namareq Widatalla, Anita Krishnan, Yoshitaka Kimura, Ahsan H. Khandoker
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Physiology
Subjects:
biomedical signal processing algorithms
deep learning
fetal heart rate
long short-term memory
noninvasive fetal electrocardiogram
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1329313/full

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https://www.frontiersin.org/articles/10.3389/fphys.2024.1329313/full

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