Computerised analysis of fetal heart rate

Thesis

This thesis presents a comprehensive work on computerised analysis of fetal heart rate (FHR) features, including feature extraction, feature selection, analysis of influencing factors and setting up/validation of a computerised decision support system.

Firstly, a novel feature – pattern readjustment – was extracted and tested. Clinical data were used to train a Support Vector Machine (SVM) to detect pattern readjustment. Then, the association of pattern readjustment and adverse labo...

Expand abstract

Authors: Xu, L

• Publication date: 2014
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: Oxford University, UK
• Language: English
• Keywords: genetic algorithms; Fetal heart rate; decision support system; signal loss
• Subjects: Biology and other natural sciences (mathematics); Pattern recognition (statistics)