• DocumentCode
    672028
  • Title

    Symbolic dynamics in cardiotocographic monitoring

  • Author

    Romano, M. ; Bifulco, P. ; Improta, Gianni ; Faiella, Giuliana ; Cesarelli, M. ; Clemente, Fabrizio ; D´Addio, G.

  • Author_Institution
    DIETI, Univ. of Naples, Naples, Italy
  • fYear
    2013
  • fDate
    21-23 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Foetal heart rate variability is considered an important parameter, capable to highlight foetal reactivity and wellbeing. Many studies focused their attention on foetal heart rate variability analysis, using different techniques both in time and frequency domain. Proposed parameters have shown some limitations, due to their inability to analyze nonlinear dynamics, involved in heart rate control and relevant for clinical aims. In the last decades, nonlinear analysis methods have gained a growing interest. Here, we described an application of a nonlinear analysis (symbolic dynamic analysis) and introduced a new index to quantify foetal heart rate variability, in a simple and concise way, in healthy foetuses near to term. The index was able to highlight differences in foetal heart rate variability, not always so evident on printed cardiotocographic signals, and resulted significantly correlated with the different kinds of delivery (spontaneous or caesarean); in particular, higher variability index values corresponded to spontaneous delivery.
  • Keywords
    cardiology; computerised monitoring; frequency-domain analysis; medical signal detection; nonlinear dynamical systems; patient monitoring; time-domain analysis; cardiotocographic monitoring; foetal heart rate variability analysis; foetal reactivity; frequency domain; healthy foetuses; heart rate control; nonlinear analysis methods; nonlinear dynamics; printed cardiotocographic signals; spontaneous delivery; symbolic dynamic analysis; symbolic dynamics; time domain; variability index values; Biology; Biomedical monitoring; Europe; Monitoring; biomedical signal processing; foetal health monitoring; medical signal detection; pregnancy; symbolic dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Health and Bioengineering Conference (EHB), 2013
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4799-2372-4
  • Type

    conf

  • DOI
    10.1109/EHB.2013.6707374
  • Filename
    6707374