A systematic review of automated pre-processing, feature extraction and classification of cardiotocography

A systematic review of automated pre-processing, feature extraction and classification of cardiotocography

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Context. The interpretations of cardiotocography (CTG) tracings are indeed vital to monitor fetal well-being both during pregnancy and childbirth. Currently, many studies are focusing on feature extraction and CTG classification using computer vision approach in determining the most accurate diagnos...

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Bibliographic Details
Main Authors: Alamoodi, A (Author), Al-Dayyeni, W (Author), Alrawi, AAA (Author), Al-shareefi, NA (Author), Al-yousif, S (Author), Comert, Z (Author), Jabori, I (Author), Jaenul, A (Author), Saleh, AH (Author), Tahir, NM (Author)
Format: Article
Language:English
Published: 2021
Subjects:
Acceleration
Baseline
Cardiotocography
Classification
Diagnoses
Feature extraction
FETAL
Fetal Heart Rate
MACHINE
SELECTION
SIGNALS
Uterine contraction
Variability
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