Methods of AI in Classification of Antepartum Heart Rate – Bc. Mohamed Darwish
Bc. Mohamed Darwish
Master's thesis
Methods of AI in Classification of Antepartum Heart Rate
Abstract:
Continuous monitoring of the fetal heart rate (FHR) signal has been widely used to allow obstetricians to obtain detailed physiological information about newborns. The objective of this thesis is to examine a novel approach of analyzing FHR signals with the help of AI and propose a framework that can help obstetricians make better decisions. This work is composed of mainly two parts in which the first …more
Language used: English
Date on which the thesis was submitted / produced: 3. 4. 2023
Thesis defence
- Date of defence: 22. 5. 2023
- Supervisor: Ing. Petr Hanzlík, Ph.D.
- Reader: Petr Vlachynský, Ing.
Citation record
ISO 690-compliant citation record:
DARWISH, Mohamed. \textit{Methods of AI in Classification of Antepartum Heart Rate}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2023. Available from: https://theses.cz/id/r8gk54/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementMaster programme:
Informatics
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