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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 |
Files in This Item:
File | Description | Size | Format | |
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Abstract1.pdf | 10.54 kB | Adobe PDF | View/Open |
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