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 PaperResearchpeer-review

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 Healthcare Innovation and POCT
EditorsColin Brenan, Martha Gray, Thomas Matula
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages243-246
Number of pages4
ISBN (Electronic)9781467363648
ISBN (Print)9781467363624
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventIEEE Healthcare Innovation Point-of-Care Technologies Conference 2014 - Renaissancee Seattle Hotel, Seattle, United States of America
Duration: 8 Oct 201410 Oct 2014
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6814349

Conference

ConferenceIEEE Healthcare Innovation Point-of-Care Technologies Conference 2014
Abbreviated titleHI-POCT 2014
CountryUnited States of America
CitySeattle
Period8/10/1410/10/14
Internet address

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 C. Brenan, M. Gray, & T. Matula (Eds.), 2014 Healthcare Innovation and POCT (pp. 243-246). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/HIC.2014.7038920