Publications

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

Georgieva A. et al, (2019), Acta Obstetricia et Gynecologica Scandinavica, 98, 1207 - 1217

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

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

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

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

Deep Learning for Continuous Electronic Fetal Monitoring in Labor

Petrozziello A. et al, (2018)

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

Stroux L. et al, (2017), Acta Obstetricia et Gynecologica Scandinavica, 96, 1322 - 1329

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

Georgieva A. et al, (2017), Acta Obstetricia et Gynecologica Scandinavica, 96, 883 - 891

Monitoring fetal maturation—objectives, techniques and indices of autonomic function

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

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

Georgieva A. et al, (2014), BJOG: An International Journal of Obstetrics & Gynaecology, 121, 1747 - 1748

Feature selection using genetic algorithms for fetal heart rate analysis

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

Georgieva A. et al, (2014), BJOG: An International Journal of Obstetrics & 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.

Aye CYL. et al, (2014), Eur J Obstet Gynecol Reprod Biol, 176, 112 - 118

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

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

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

Feature selection for computerized fetal heart rate analysis using genetic algorithms

Liang Xu None. et al, (2013), 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Self-organizing maps for texture classification

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

Umbilical cord gases in relation to the neonatal condition: the EveREst plot

Georgieva A. et al, (2013), European Journal of Obstetrics & Gynecology and Reproductive Biology, 168, 155 - 160

Artificial neural networks applied to fetal monitoring in labour

Georgieva A. et al, (2013), Neural Computing and Applications, 22, 85 - 93

Feature selection for computerized fetal heart rate analysis using genetic algorithms.

Xu L. et al, (2013), Conf Proc IEEE Eng Med Biol Soc, 2013, 445 - 448

Highly comparative fetal heart rate analysis

Fulcher BD. et al, (2012), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 3135 - 3138