Using nonlinear features for fetal heart rate classification

Biomedical Signal Processing and Control

Volumn 7, Issue 4, 2012, Pages 350-357

  Spilka, J ^a   Chudacek V ^a   Koucky M ^b   Lhotska L ^a   Huptych, M ^a   Janku P ^c   Georgoulas, G ^d   Stylios, C ^d  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b CHARLES UNIVERSITY   (Czech Republic)

^c UNIVERSITY HOSPITAL BRNO   (Czech Republic)

^d Epirus Institute of Technology Arta   (Greece)

Author keywords

Cardiotocography; Classification; Feature selection; Fetal heart rate; Nonlinear methods

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; ENTROPY; FEATURE EXTRACTION; FRACTAL DIMENSION; HEART; NEONATAL MONITORING;

ACCURACY OF CLASSIFICATIONS; CARDIOTOCOGRAPHY; CLASSIFICATION RESULTS; CLINICAL EVALUATION; FETAL HEART RATE; LEMPEL ZIV COMPLEXITY; MORPHOLOGICAL FEATURES; NON-LINEAR METHODS;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ARTICLE; CARDIOTOCOGRAPHY; CONTROLLED STUDY; DATA BASE; ENTROPY; FETUS; FETUS HEART RATE; HUMAN; INTRAPARTUM CARE; PH; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

EID: 84861098931     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2011.06.008     Document Type: Article

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