Survey on Cardiotocography Feature Extraction Algorithms for Foetal Welfare Assessment

  • Michel Haritopoulos
  • Alfredo Illanes
  • Asoke K. Nandi
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 57)

Abstract

Since its inception forty years ago as a way to control birth process, the cardiotocograph (CTG) has emerged over time and became the undisputed leader worldwide of non-invasive intrapartum foetal monitoring systems. The CTG signals conveying a lot of information, it is very difficult to interpret them and act accordingly even for specialists; hence, researchers have started looking for characteristics which could be correlated with a particular pathological state of the foetus. Thereby, many features appeared in the literature, ranging from the most common ones to artificially generated features, and computed using a wide variety of signal processing-based analysis tools: time scale, spectral or non-linear analysis, to name but a few. This survey paper, presents in a hierarchical order the most common processing steps of a CTG signal and focuses primarily on the feature extraction methods for foetal heart rate (FHR) analysis reported in the literature during the last decade. Also, some feature classification methods are reported before a brief discussion which concludes this work.

Keywords

Cardiotocography Feature extraction Classification Foetal heart rate Foetal welfare assessment 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Michel Haritopoulos
    • 1
  • Alfredo Illanes
    • 2
  • Asoke K. Nandi
    • 3
  1. 1.PRISME LaboratoryUniversity of Orléans, ENSI de BourgesChartresFrance
  2. 2.Facultad de Ciencias de la IngenieríaUniversidad Austral de ChileValdiviaChile
  3. 3.Electronic and Computer EngineeringBrunel UniversityUxbridgeUK

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