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Advanced Signal Processing Techniques for CTG Analysis

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XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

Part of the book series: IFMBE Proceedings ((IFMBE,volume 57))

Abstract

The paper aims at presenting and discussing some key points about the analysis of fetal heart rate (FHR) recorded by means of CardioTocography (CTG). Starting from a brief history of CTG computerized analysis, the paper describes how the integration of various computational methods for extracting reliable parameters from FHR variability can help the pre natal diagnosis.

The approaches adopted for the analysis are briefly illustrated, considering both traditional time domain parameters as well as new indices in the nonlinear field such as entropy measures, complexity parameters and indices derived from phase rectified signal averaging method. IUGR fetuses can be separated from Normal ones by parameters with high levels of significance. Moreover, collecting few of them allow obtaining classification models able to provide correct classification for more than 90% fetuses. Results obtained from Normal and IUGR populations of fetuses show that i) the integration of linear and nonlinear parameters provide reliable indications about pathophysiologic fetal states; ii) could support early clinical diagnosis of fetal pathologies; iii) should be considered to design novel fetal monitoring systems.

The original version of this chapter was inadvertently published with an incorrect chapter pagination 1199–1204 and DOI 10.1007/978-3-319-32703-7_232. The page range and the DOI has been re-assigned. The correct page range is 1205–1210 and the DOI is 10.1007/978-3-319-32703-7_233. The erratum to this chapter is available at DOI: 10.1007/978-3-319-32703-7_260

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-32703-7_260

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Author information

Authors and Affiliations

  1. Dipartimento di Elettronica, Informazione e Bioingegneria-DEIB, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milano, Italy

    Maria G. Signorini

  2. Dipartimento di Ingegneria Industriale e dell’Informazione, Università di Pavia, Pavia, Italy

    Giovanni Magenes

Authors
  1. Maria G. Signorini
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  2. Giovanni Magenes
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Correspondence to Maria G. Signorini .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus

    Efthyvoulos Kyriacou

  2. Biomedical Research Foundation, Nicosia, Cyprus

    Stelios Christofides

  3. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Constantinos S. Pattichis

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Signorini, M.G., Magenes, G. (2016). Advanced Signal Processing Techniques for CTG Analysis. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_233

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  • DOI: https://doi.org/10.1007/978-3-319-32703-7_233

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32701-3

  • Online ISBN: 978-3-319-32703-7

  • eBook Packages: EngineeringEngineering (R0)

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