Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2342
Title: Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline
Authors: Al-Yousif, Shahad
Najm, Ihab A
Talab, Hossam Subhi
Al Qahtani, Nourah Hasan
Alfiras, M
Al-Rawi, Osama YM
Al-Dayyeni, Wisam Subhi
Alrawi, Ali Amer Ahmed
Mnati, Mohannad Jabbar
Ghabban, Fahad
Al-Shareefi, Nael A
Jaber, Mustafa Musa
Saleh, Abbadullah H
Tahir, Nooritawati Md
Najim, Huda T
Taher, Mayada
Keywords: Cardiotocography
Classification
Fetal Heart Rate
Baseline
Variability
Feature extraction
Uterine contraction
Diagnoses
Acceleration
Issue Date: 18-Aug-2022
Abstract: Abstract: The computerization of both fetal heart rate (FHR) and intelligent classification modeling of the cardiotocograph (CTG) is one of the approaches that are utilized in assisting obstetricians in conducting initial interpretation based on (CTG) analysis. CTG tracing interpretation is crucial for the monitoring of the fetal status during weeks into the pregnancy and childbirth. Most contemporary studies rely on computer-assisted fetal heart rate (FHR) feature extraction and CTG categorization to determine the best precise diagnosis for tracking fetal health during pregnancy. Furthermore, through the utilization of a computer-assisted fetal monitoring system, the FHR patterns can be precisely detected and categorized.
URI: http://localhost:8080/xmlui/handle/123456789/2342
Appears in Collections:الهندسة الكهربائية

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