Symbolic dynamic and frequency analysis in foetal monitoring

Maria Romano, Giovanni D'Addio, Fabrizio Clemente, Alfonso Maria Ponsiglione, Gianni Improta, Mario Cesarelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Foetal heart rate variability is widely considered an important parameter to assess foetal reactivity and wellbeing. Traditional approaches to analyze foetal heart rate and its variability, such as Time and Frequency Domain Analyses, have shown some limitations, due to their inability to highlight nonlinear dynamics potentially relevant. Hence, in the last decades, nonlinear analysis methods have gained a growing interest and the integration of parameters derived from these techniques and traditional ones could be a way to improve the assessment of foetal development and/or distress. In this work, we proposed a comparison between new index obtained with a nonlinear analysis (Symbolic Dynamic Analysis) and more traditional parameters computed by the power spectral density of the foetal heart variability signals (Frequency Domain Analysis). A dataset of 579 cardiotocographic signals from healthy foetuses, recorded from the 24th to the 42th gestation week, was examined using both above-mentioned methods. The obtained results demonstrate that Symbolic Dynamics, as much as Frequency Domain Analysis, could be a useful tool in foetal development assessing.

Original languageEnglish
Title of host publicationIEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings
PublisherIEEE Computer Society
ISBN (Print)9781479929207
DOIs
Publication statusPublished - 2014
Event9th IEEE International Symposium on Medical Measurements and Applications, IEEE MeMeA 2014 - Lisbon, Portugal
Duration: Jun 11 2014Jun 12 2014

Other

Other9th IEEE International Symposium on Medical Measurements and Applications, IEEE MeMeA 2014
CountryPortugal
CityLisbon
Period6/11/146/12/14

Keywords

  • Foetal development
  • Foetal heart rate variability
  • Frequency domain analysis
  • Symbolic dynamics

ASJC Scopus subject areas

  • Biomedical Engineering

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  • Cite this

    Romano, M., D'Addio, G., Clemente, F., Ponsiglione, A. M., Improta, G., & Cesarelli, M. (2014). Symbolic dynamic and frequency analysis in foetal monitoring. In IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings [68600122] IEEE Computer Society. https://doi.org/10.1109/MeMeA.2014.6860122