Journal article
Prediction of fetal blood pressure during labour with deep learning techniques
- Abstract:
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Our objective is to develop a model for the prediction of minimum fetal blood pressure (FBP) during fetal heart rate (FHR) decelerations. Experimental data from umbilical occlusions in near-term fetal sheep (2698 occlusions from 57 near-term lambs) were used to train a convolutional neural network. This model was then used to estimate FBP for decelerations extracted from the final 90 min of 53,445 human FHR signals collected using cardiotocography. Minimum sheep FBP was predicted with a mean ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.7MB, Terms of use)
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- Publisher copy:
- 10.3390/bioengineering10070775
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Funding
Bibliographic Details
- Publisher:
- MDPI
- Journal:
- Bioengineering More from this journal
- Volume:
- 10
- Issue:
- 7
- Article number:
- 775
- Publication date:
- 2023-06-28
- Acceptance date:
- 2023-06-24
- DOI:
- EISSN:
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2306-5354
Item Description
- Language:
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English
- Keywords:
- Subjects:
- Pubs id:
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1494021
- Local pid:
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pubs:1494021
- Deposit date:
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2023-07-19
Terms of use
- Copyright holder:
- Tolladay et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
- Licence:
- CC Attribution (CC BY)
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