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Feature selection using genetic algorithms for fetal heart rate analysis.

Abstract:

The fetal heart rate (FHR) is monitored on a paper strip (cardiotocogram) during labour to assess fetal health. If necessary, clinicians can intervene and assist with a prompt delivery of the baby. Data-driven computerized FHR analysis could help clinicians in the decision-making process. However, selecting the best computerized FHR features that relate to labour outcome is a pressing research problem. The objective of this study is to apply genetic algorithms (GA) as a feature selection meth...

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Publication status:
Published

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Publisher copy:
10.1088/0967-3334/35/7/1357

Authors


Redman, CW More by this author
Georgieva, A More by this author
Publisher:
Institute of Physics Publishing
Journal:
Physiological measurement
Volume:
35
Issue:
7
Pages:
1357-1371
Publication date:
2014-07-05
DOI:
EISSN:
1361-6579
ISSN:
0967-3334
URN:
uuid:91dcc775-d623-4df3-a6f2-7235bdbf6521
Source identifiers:
466115
Local pid:
pubs:466115

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