Automated measurement of fetal isovolumic contraction time from Doppler ultrasound signals without using fetal electrocardiography

Faezeh Marzbanrad, Yoshitaka Kimura, Miyuki Endo, Marimuthu Palaniswami, Ahsan H. Khandoker

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

Isovolumic Contraction Time (ICT) is the interval from mitral closing to aorta opening. Fetal ICT can be noninvasively measured from Doppler Ultrasound (DUS) signal. Automated identification of opening and closing of mitral and aortic valves from DUS signal was proposed in recent studies. Fetal electrocardiogram (fECG) has a crucial role as a reference in automated methods by identifying the onset of each cardiac cycle. However simultaneous recording of abdominal ECG and DUS and separation of fECG from the noisy mixture of ECG complicate this technique. In this study the automated identification of valve motion events without using fECG was investigated. The DUS signal was decomposed by Empirical Mode Decomposition (EMD) to high and low frequency components linked to valve and wall motion, respectively. The peaks of the latter were used for segmentation of the high frequency component as a substitute for fECG. The mitral and aortic valve motion was then automatically identified by hybrid Support Vector Machine (SVM)-Hidden Markov Model (HMM). Results show a significant positive linear correlation between average ICT obtained with and without using fECG (r=0.90, p<0.0001) with the mean absolute difference of 1.4 msec.

Original languageEnglish
Article number7043085
Pages (from-to)485-488
Number of pages4
JournalComputing in Cardiology
Volume41
Issue numberJanuary
Publication statusPublished - 2014 Jan 1
Event41st Computing in Cardiology Conference, CinC 2014 - Cambridge, United States
Duration: 2014 Sep 72014 Sep 10

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

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