DocumentCode :
3252097
Title :
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
Link To Document :
بازگشت