Novel approach for fetal heart rate classification introducing grammatical evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Georgoulas200769,
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author = "George Georgoulas and Dimitris Gavrilis and
Ioannis G. Tsoulos and Chrysostomos Stylios and Joao Bernardes and
Peter P. Groumpos",
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title = "Novel approach for fetal heart rate classification
introducing grammatical evolution",
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journal = "Biomedical Signal Processing and Control",
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volume = "2",
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number = "2",
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pages = "69--79",
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year = "2007",
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ISSN = "1746-8094",
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DOI = "DOI:10.1016/j.bspc.2007.05.003",
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URL = "http://www.sciencedirect.com/science/article/B7XMN-4P9K9C1-1/2/26899c02af37c6edf88c6baa6282a061",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, Fetal heart rate, Multilayer perceptron,
Feature construction, Classification",
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abstract = "Fetal heart rate (FHR) variations reflect the level of
oxygenation and blood pressure of the fetus. Electronic
Fetal Monitoring (EFM), the continuous monitoring of
the FHR, was introduced into clinical practice in the
late 1960s and since then it has been considered as an
indispensable tool for fetal surveillance. However, EFM
evaluation and its merit is still an open field of
controversy, mainly because it is not consistently
reproducible and effective. In this work, we present a
novel method based on grammatical evolution to
discriminate acidemic from normal fetuses, using
features extracted from the FHR signal during the
minutes immediately preceding delivery. The proposed
method identifies linear and nonlinear correlations
among the originally extracted features and
creates/constructs a set of new ones, which, in turn,
feed a nonlinear classifier. The classifier, which also
uses a hybrid method for training, along with the
constructed features was tested using a set of real
data achieving an overall performance of 90percent
(specificity=sensitivity=90percent).",
- }
Genetic Programming entries for
George Georgoulas
Dimitris Gavrilis
Ioannis G Tsoulos
Chrysostomos Stylios
Joao Bernardes
Peter P Groumpos
Citations