Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph

  title={Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph},
  author={Matt o'Sullivan and Tatiana Gabruseva and Gráinne M. Boylan and Mairead O'Riordan and Gordon Lightbody and William G. Marnane},
  journal={2021 29th European Signal Processing Conference (EUSIPCO)},
Cardiotocography (CTG) is the main tool used for fetal monitoring during labour. Interpretation of CTG requires dynamic pattern recognition in real time. It is recognised as a difficult task with high inter- and intra-observer disagreement. Machine learning has provided a viable path towards objective and reliable CTG assessment. In this study, novel CTG features are developed based on clinical expertise and system control theory using an autoregressive moving-average (ARMA) model to… 

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