Novel approach for fetal heart rate classification introducing grammatical evolution

• Type: Article in International Scientific Journal
• Date: 2007

Authors

Georgoulas, G (Author) Other; Gavrilis, D (Author) Other; Tsoulosc, IG (Author) Other; Stylios, C (Author) Other; Joao Bernardes (Author) FMUP; Groumpos, PP (Author) Other

Journal

Title: Biomedical Signal Processing and Control

Vol. 2

Pages: 69-79

ISSN: 1746-8094

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 34 Citations

Scopus - 41 Citations

Other information

Authenticus ID: P-004-AR0

DOI: 10.1016/j.bspc.2007.05.003

Abstract (EN): 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, utilizing 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 90% (specificity = sensitivity = 90%).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11