Journal article icon

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...

Expand abstract
Publication status:
Published

Actions


Access Document


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

Authors


Georgieva, A More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Moulden, M More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Obstetrics and Gynaecology
Journal:
NEURAL COMPUTING and APPLICATIONS
Volume:
22
Issue:
1
Pages:
85-93
Publication date:
2013-01-05
DOI:
EISSN:
1433-3058
ISSN:
0941-0643
URN:
uuid:aab52c77-fe54-4344-bbc7-c3b50f949ef8
Source identifiers:
377552
Local pid:
pubs:377552

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP