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Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.

Paul FergusAbir HussainDhiya Al-JumeilyDe-Shuang HuangNizar Bouguila
Published in: Biomedical engineering online (2017)
The results demonstrate that machine learning significantly improves the efficiency for the detection of caesarean section and normal vaginal deliveries using foetal heart rate signals compared with obstetrician and midwife predictions and systems reported in previous studies.
Keyphrases
  • heart rate
  • machine learning
  • heart rate variability
  • blood pressure
  • artificial intelligence
  • big data
  • deep learning
  • gestational age
  • loop mediated isothermal amplification
  • case control
  • label free