The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord

Simple item page
dc.contributor.advisorCapper, Wayneen_ZA
dc.contributor.advisorVaughan, Christopher Leonard (Kit)en_ZA
dc.contributor.authorAlhamud, Alkathafi Alien_ZA
dc.date.accessioned2014-07-28T18:15:55Z
dc.date.available2014-07-28T18:15:55Z
dc.date.issued2005en_ZA
dc.descriptionIncludes bibliographical references (leaves 120-128).
dc.description.abstractPresent-day obstetric decision-making is based on measuring the umbilical arterial blood flow velocity waveforms from one site of the cord. There is an ongoing debate on the predictive value of Doppler measurements in the evaluation of the foetal condition. The aim of this thesis is to investigate the use ofa neural network to recognise blood flow waveform shape patterns associated with placental insufficiency. Eleven backpropagation neural networks have been developed and trained based on the waveforms that are generated from the foetal mathematical model (developed in previous research) at both ends of the cord. Only two networks trained successfully. These two networks are the Levenberg-Marquardt algorithm (Trainlm) and the resilient backpropagation algorithm (Trainrp).en_ZA
dc.identifier.apacitationAlhamud, A. A. (2005). <i>The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering. Retrieved from http://hdl.handle.net/11427/3220en_ZA
dc.identifier.chicagocitationAlhamud, Alkathafi Ali. <i>"The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2005. http://hdl.handle.net/11427/3220en_ZA
dc.identifier.citationAlhamud, A. 2005. The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Alhamud, Alkathafi Ali AB - Present-day obstetric decision-making is based on measuring the umbilical arterial blood flow velocity waveforms from one site of the cord. There is an ongoing debate on the predictive value of Doppler measurements in the evaluation of the foetal condition. The aim of this thesis is to investigate the use ofa neural network to recognise blood flow waveform shape patterns associated with placental insufficiency. Eleven backpropagation neural networks have been developed and trained based on the waveforms that are generated from the foetal mathematical model (developed in previous research) at both ends of the cord. Only two networks trained successfully. These two networks are the Levenberg-Marquardt algorithm (Trainlm) and the resilient backpropagation algorithm (Trainrp). DA - 2005 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2005 T1 - The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord TI - The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord UR - http://hdl.handle.net/11427/3220 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/3220
dc.identifier.vancouvercitationAlhamud AA. The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2005 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/3220en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Biomedical Engineeringen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherBiomedical Engineeringen_ZA
dc.titleThe use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical corden_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_hsf_2005_alhamud_a_a (1).pdf
Size:
9.22 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters