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

Faezeh Marzbanrad, Yoshitaka Kimura, Kiyoe Funamoto, Rika Sugibayashi, Miyuki Endo, Takuya Ito, Marimuthu Palaniswami, Ahsan Khandoker

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

2 Citations (Scopus)


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).

Original languageEnglish
Title of host publicationComputing in Cardiology 2013, CinC 2013
Number of pages4
Publication statusPublished - 2013
Event2013 40th Computing in Cardiology Conference, CinC 2013 - Zaragoza, Spain
Duration: 2013 Sep 222013 Sep 25

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


Conference2013 40th Computing in Cardiology Conference, CinC 2013

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine


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