Deep learning identifies cardiac coupling between mother and fetus during gestation

HIGHLIGHTS

• who: Mohanad Alkhodari and Ahsan H. Khandoker from the Research Centre, Saudi Arabia have published the Article: Deep learning identifies cardiac coupling between mother and fetus during gestation, in the Journal: (JOURNAL)
• what: The authors propose the analysis of cardiac coupling between maternal and fetal heartbeats through deep learning. The authors show the original prevalence (%) of each coupling scenario in the 2-3 minutes time interval (deep learning prediction was ). The authors extend the benefits of using deep learning by interpreting these learned parameters to derive the knowledge on coupling decisions in a form of . . .
  

   

  

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