Application of automated fetal valve motion identification to investigate fetal heart anomalies

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

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

2 Citations (Scopus)

Abstract

Electromechanical coupling of the fetal heart can be evaluated using the intervals between the onset of the QRS complex of the fetal electrocardiogram (fECG) and opening and closing of the cardiac valves. An automated method was proposed in our previous study to estimate these intervals from Doppler Ultrasound (DUS) signal and fECG for normal fetuses. In the current study this method was applied to the fetuses with heart anomalies to investigate the effect of anomalies on fetal cardiac intervals. Results show that the Pre-ejection period (PEP) and Isovolumetric Contraction Time (ICT) were affected by the anomalies. They were both shortened for three out of four anomalies and lengthened for one heart anomaly case. Results will be a background for a further study on more heart anomaly cases to develop a reliable marker for early diagnosis.

Original languageEnglish
Title of host publication2014 IEEE Healthcare Innovation Conference, HIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages243-246
Number of pages4
ISBN (Electronic)9781467363648
DOIs
Publication statusPublished - 2014 Feb 10
Event2014 IEEE Healthcare Innovation Conference, HIC 2014 - Seattle, United States
Duration: 2014 Oct 82014 Oct 10

Publication series

Name2014 IEEE Healthcare Innovation Conference, HIC 2014

Other

Other2014 IEEE Healthcare Innovation Conference, HIC 2014
CountryUnited States
CitySeattle
Period14/10/814/10/10

ASJC Scopus subject areas

  • Medicine(all)
  • Biomedical Engineering

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  • Cite this

    Marzbanrad, F., Kimura, Y., Palaniswami, M., & Khandoker, A. H. (2014). Application of automated fetal valve motion identification to investigate fetal heart anomalies. In 2014 IEEE Healthcare Innovation Conference, HIC 2014 (pp. 243-246). [7038920] (2014 IEEE Healthcare Innovation Conference, HIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2014.7038920