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

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトル2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1885-1888
ページ数4
ISBN(電子版)9781424479290
DOI
出版物ステータスPublished - 2014 11 2
イベント2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
継続期間: 2014 8 262014 8 30

出版物シリーズ

名前2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
United States
Chicago
期間14/8/2614/8/30

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering
  • Medicine(all)

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  • これを引用

    Marzbanrad, F., Khandoker, A. H., Endo, M., Kimura, Y., & Palaniswami, M. (2014). A multi-dimensional Hidden Markov Model approach to automated identification of fetal cardiac valve motion. : 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 1885-1888). [6943978] (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6943978