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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, 98, 1207 - 1217

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 & 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 & 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

Feature selection for computerized fetal heart rate analysis using genetic algorithms

Conference paper

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

Journal article

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

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

Journal article

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

Journal article

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

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

Journal article

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

Highly comparative fetal heart rate analysis

Conference paper

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

Relation of fetal heart rate signals with unassignable baseline to poor neonatal state at birth

Journal article

Georgieva A. et al, (2012), Medical and Biological Engineering and Computing, 50, 717 - 725

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