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Journal article

Artificial neural networks applied to fetal monitoring in labour

Abstract:

Birth asphyxia can result in death or permanent brain damage. To prevent it, the fetal heart rate (FHR) is recorded in labour on a paper strip. In clinical practice, the complicated FHR patterns are assessed by eye, which is error-prone, inconsistent and unreliable. Objective alternatives are needed and thus we investigated the applicability of feed-forward artificial neural networks (ANNs) for FHR analysis. Six FHR features were extracted and combined with six clinical parameters to form a f...

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Publication status:
Published

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Publisher copy:
10.1007/s00521-011-0743-y

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Women's and Reproductive Health
Role:
Author
Journal:
NEURAL COMPUTING and APPLICATIONS
Volume:
22
Issue:
1
Pages:
85-93
Publication date:
2013-01-01
DOI:
EISSN:
1433-3058
ISSN:
0941-0643
Source identifiers:
377552
Language:
English
Keywords:
Pubs id:
pubs:377552
UUID:
uuid:aab52c77-fe54-4344-bbc7-c3b50f949ef8
Local pid:
pubs:377552
Deposit date:
2013-11-16

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