A systematic review of automated preprocessing, feature extraction and classification of cardiotocography

A systematic review of automated preprocessing, 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, A.A.A (Author), Al-shareefi, N.A (Author), Al-yousif, S. (Author), Cömert, Z. (Author), Jabori, I. (Author), Jaenul, A. (Author), Saleh, A.H (Author), Tahir, N.M (Author)
Format: Article
Language:English
Published: PeerJ Inc. 2021
Series:PeerJ Computer Science
Subjects:
Acceleration
Automatic feature extraction
Baseline
Biomedical signal processing
Cardiotocography
Cardiotocography (CTG)
Classification
Comparative studies
Computer aided diagnosis
Diagnoses
Digital libraries
Evaluation methods
Extraction
Feature extraction
Feature extraction and classification
Fetal Heart Rate
Fetal monitoring
Obstetrics
Problems and challenges
Research opportunities
Surveys
Systematic Review
Taxonomies
Uterine contraction
Variability
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