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Publications

Fetal heart rate responses in chronic hypoxaemia with superimposed repeated hypoxaemia consistent with early labour: a controlled study in fetal sheep

Journal article

Lear CA. et al, (2023), BJOG: An International Journal of Obstetrics & Gynaecology

Predelivery placenta-associated biomarkers and computerized intrapartum fetal heart rate patterns

Journal article

Bowe S. et al, (2023), AJOG Global Reports, 3, 100149 - 100149

Editorial: Fetal-maternal monitoring in the age of artificial intelligence and computer-aided decision support: A multidisciplinary perspective

Journal article

Georgieva A. et al, (2022), Frontiers in Pediatrics, 10

Cardiotocography and Clinical Risk Factors in Early Term Labor: A Retrospective Cohort Study Using Computerized Analysis With Oxford System

Journal article

Lovers AAK. et al, (2022), Frontiers in Pediatrics, 10

Deceleration area and capacity during labour‐like umbilical cord occlusions identify evolving hypotension: a controlled study in fetal sheep

Journal article

Georgieva A. et al, (2020), BJOG: An International Journal of Obstetrics & Gynaecology

Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK).

Journal article

Georgieva A. et al, (2019), Acta obstetricia et gynecologica Scandinavica

Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery

Journal article

Petrozziello A. et al, (2019), IEEE Access, 7, 112026 - 112036

Understanding Fetal Heart Rate Patterns That May Predict Antenatal and Intrapartum Neural Injury

Journal article

Lear CA. et al, (2018), Seminars in Pediatric Neurology, 28, 3 - 16

Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction.

Journal article

Stroux L. et al, (2017), Acta obstetricia et gynecologica Scandinavica, 96, 1322 - 1329

Computerized data-driven interpretation of the intrapartum cardiotocogram: a cohort study.

Journal article

Georgieva A. et al, (2017), Acta obstetricia et gynecologica Scandinavica, 96, 883 - 891

Monitoring fetal maturation-objectives, techniques and indices of autonomic function.

Journal article

Hoyer D. et al, (2017), Physiological measurement, 38, R61 - R88

Effect of signal acquisition method on the fetal heart rate analysis with phase rectified signal averaging.

Journal article

van Scheepen JAM. et al, (2016), Physiological measurement, 37, 2245 - 2259

Authors' reply: Computerised interpretation of fetal heart rate patterns and correlation with fetal acidaemia.

Journal article

Georgieva A. et al, (2014), BJOG : an international journal of obstetrics and gynaecology, 121, 1747 - 1748

Feature selection using genetic algorithms for fetal heart rate analysis.

Journal article

Xu L. et al, (2014), Physiological measurement, 35, 1357 - 1371

Phase-rectified signal averaging for intrapartum electronic fetal heart rate monitoring is related to acidaemia at birth.

Journal article

Georgieva A. et al, (2014), BJOG : an international journal of obstetrics and gynaecology, 121, 889 - 894

The effect of augmentation of labour with syntocinon on the fetal CTG using objective computerised analysis: a nested case-control study.

Journal article

Aye CYL. et al, (2014), European journal of obstetrics, gynecology, and reproductive biology, 176, 112 - 118

Phase-rectified signal averaging for intrapartum electronic fetal heart rate monitoring is related to acidaemia at birth

Journal article

Georgieva A. et al, (2014), BJOG: An International Journal of Obstetrics and Gynaecology, 121, 889 - 894

The effect of augmentation of labour with syntocinon on the fetal CTG using objective computerised analysis: A nested case-control study

Journal article

Aye CYL. et al, (2014), European Journal of Obstetrics Gynecology and Reproductive Biology, 176, 112 - 118

Feature selection for computerized fetal heart rate analysis using genetic algorithms

Conference paper

Xu L. et al, (2013), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 445 - 448

Self-organizing maps for texture classification

Journal article

Petrov N. et al, (2013), Neural Computing and Applications, 22, 1499 - 1508

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