An IoMT enabled deep learning framework for automatic detection of fetal QRS: A solution to remote prenatal care
The amalgamation of the Internet of medical things with artificial intelligence shows tremendous bene-fits in health care. Accurate detection of the fetal QRS complex is highly demanded in fetal heart rate monitoring. Detecting fetal heart rate using electrophysiological signals obtained from abdomi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/41064/ |
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