Classification of cardiotocography records by random forest

Author

Tomas, Pedro ; Krohova, Jana ; Dohnalek, Pavel ; Gajdos, Petr

Author_Institution

Centre of Excellence, VrB-Tech. Univ. of Ostrava, Ostrava, Czech Republic

fYear

2013

fDate

2-4 July 2013

Firstpage

620

Lastpage

923

Abstract

The cardiotocography (CTG) is a diagnostic method which is widely used in prenatal care. The CTG is indicated since 27 weeks of pregnancy and it measures heart activity, uterine contraction and fetal movement. Results of the CTG allow recognizing of three basic different fetal states (physiological, suspect and pathological) and an obstetrician can determine a diagnosis and evaluate situation which can lead to the fetus death. The main aim of this work is to suggest and to test algorithm for automatic recognition of above mentioned states. This task is especially used in prenatal care as a support decision system.

Keywords

biomedical ultrasonics; medical signal processing; obstetrics; automatic recognition; cardiotocography records classification; diagnostic method; fetal movement; heart activity; pregnancy; prenatal care; support decision system; uterine contraction; Acceleration; Accuracy; Algorithm design and analysis; Fetal heart rate; Histograms; Pathology; Vegetation; Cardiotocography; Classification; LDA; REP-Tree; Random Forest;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications and Signal Processing (TSP), 2013 36th International Conference on

Conference_Location

Rome

Print_ISBN

978-1-4799-0402-0

Type

conf

DOI

10.1109/TSP.2013.6614010

Filename

6614010