A multi-dimensional Hidden Markov Model approach to automated identification of fetal cardiac valve motion

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)


Fetal cardiac assessment techniques are aimed to identify fetuses at risk of intrauterine compromise or death. Evaluation of the electromechanical coupling as a fundamental part of the fetal heart physiology, provides valuable information about the fetal wellbeing during pregnancy. It is based on the opening and closing time of the cardiac valves and the onset of the QRS complex of the fetal electrocardiogram (fECG). The focus of this paper is on the automated identification of the fetal cardiac valve opening and closing from Doppler Ultrasound signal and fECG as a reference. To this aim a novel combination of Emprical Mode Decomposition (EMD) and multi-dimensional Hidden Markov Models (MD-HMM) was employed which provided beat-to-beat estimation of cardiac valve event timings with improved precision (82.9%) compared to the one dimensional HMM (77.4%) and hybrid HMM-Suppeort Vector Machine (SVM) (79.8%) approaches.

Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
EditorsJeff Duerk, Jim Ji
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781424479290
ISBN (Print)9781424479276
Publication statusPublished - 6 Nov 2014
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2014 - Sheraton Chicago Hotel and Towers, Chicago, United States of America
Duration: 26 Aug 201430 Aug 2014
Conference number: 36th
https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/6923026/proceeding (Proceedings)
https://web.archive.org/web/20140331105330/http://embc.embs.org/2014/?page_id=120 (Website)


ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2014
Abbreviated titleEMBC 2014
Country/TerritoryUnited States of America
Internet address

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