NDLI: Automated Identification of fetal cardiac valve timings

Content Provider	IEEE Xplore Digital Library
Author	Marzbanrad, F. Khandoker, A.H. Funamoto, K. Sugibayashi, R. Endo, M. Velayo, C. Kimura, Y. Palaniswami, M.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Med., Tohoku Univ., Sendai, Japan (Funamoto, K.; Sugibayashi, R.; Endo, M.; Velayo, C.; Kimura, Y.) \|\| Electr. & Electron. Eng. Dept., Univ. of Melbourne, Melbourne, VIC, Australia (Marzbanrad, F.; Khandoker, A.H.; Palaniswami, M.)
Abstract	In this paper a new noninvasive method is proposed for automated estimation of opening and closure timings of fetal cardiac valves. These timings are obtained from Doppler Ultrasound (DUS) signal and fetal electrocardiogram (fECG) as a reference. Empirical Mode Decomposition (EMD) is first applied to the DUS signal to decompose it into different components called Intrinsic Mode Functions (IMFs). The envelope of the first IMF is then taken and its peaks are identified. The opening and closure of the valves are then automatically assigned to the IMF peaks by using Hidden Markov Model (HMM). It is shown that this new method can continuously evaluate fetal cardiac valves' (aortic and mitral) motion timings for 82.5~99.7% of cardiac cycles. The estimated timings are verified using the Pulsed Doppler images. These findings can be used as sensitive markers for evaluating the fetal cardiac performance.
Starting Page	3893
Ending Page	3896
File Size	767812
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Valves Timing Hidden Markov models Doppler effect Ultrasonic imaging Educational institutions Empirical mode decomposition
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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