Classifying the type of delivery from cardiotocographic signals: A machine learning approach.

Journal: Computer methods and programs in biomedicine
Published Date: Nov 1, 2020

Abstract

BACKGROUND AND OBJECTIVE: Cardiotocography (CTG) is the most employed methodology to monitor the foetus in the prenatal phase. Since the evaluation of CTG is often visual, and hence qualitative and too subjective, some automated methods have been introduced for its assessment.

Authors

  • C Ricciardi
    Department of Advanced Biomedical Sciences, University Hospital of Naples Federico II, Naples, Italy.
  • G Improta
    Department of Public Health, University Hospital of Naples Federico II, Naples, Italy; Centro Interdipartimentale di Ricerca in Management Sanitario e Innovazione in Sanità (CIRMIS).
  • F Amato
    Department of Experimental and Clinical Medicine, University of Magna Graecia, 88100, Catanzaro, Italy.
  • G Cesarelli
    Department of Chemical, Materials and Production Engineering, University of Naples "Federico II", Naples, Italy; Istituto Italiano di Tecnologia, Naples, Italy.
  • M Romano
    Department of Experimental and Clinical Medicine (DMSC), University "Magna Graecia" of Catanzaro, Italy.

Keywords

External Resources

Popular Topics
Recent Journals