• DocumentCode
    674662
  • Title

    Development of fetal cardiac intervals throughout 16 to 41 weeks of gestation

  • Author

    Marzbanrad, Faezeh ; Kimura, Yuichi ; Funamoto, Kiyoe ; Sugibayashi, Rika ; Endo, Miyuki ; Ito, Takao ; Palaniswami, Marimuthu ; Khandoker, Ahsan

  • Author_Institution
    Univ. of Melbourne, Parkville, VIC, Australia
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    1155
  • Lastpage
    1158
  • Abstract
    In this paper a new noninvasive method is proposed for automated estimation of fetal cardiac intervals from Doppler Ultrasound (DUS) signal and fetal electrocardiogram (fECG) as a reference. The proposed method is based on a combination of Wavelet analysis and hybrid Support Vector Machines- Hidden Markov Models (SVM/HMM). This method provides automated beat by beat identification of cardiac valves´ opening and closing which are used to estimate the fetal cardiac intervals. The range of these intervals in different gestational age from 16 to 41 weeks was evaluated in this study. The correlation between beat to beat intervals was also investigated. Results show a significant negative correlation between Pre-Ejection Period (PEP) and Ventricular Ejection Time (VET) (r = -0.61, p <;0.0001), a positive correlation between VET and Systolic Time Interval (STI) (r =0.51, p <;0.0001) and a significant correlation between PEP and Isovolumic Contraction Time (ICT) (r =0.67, p <;0.0001).
  • Keywords
    biomedical ultrasonics; electrocardiography; hidden Markov models; medical signal processing; obstetrics; support vector machines; wavelet transforms; Doppler ultrasound signal; ICT; PEP; STI; SVM-HMM; VET; automated beat by beat identification; cardiac valve closing; cardiac valve opening; fECG; fetal cardiac intervals; fetal electrocardiogram; gestational age; hybrid support vector machine-hidden Markov models; isovolumic contraction time; noninvasive method; preejection period; systolic time interval; ventricular ejection time; wavelet analysis; Frequency modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2013
  • Conference_Location
    Zaragoza
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-0884-4
  • Type

    conf

  • Filename
    6713587