HMM-based Supervised Machine Learning Framework for the Detection of fECG R-R Peak Locations-Reference-Cited by-同舟云学术

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HMM-based Supervised Machine Learning Framework for the Detection of fECG R-R Peak Locations

Published:2019-06 Issue:3 Volume:40 Page:157-166
ISSN:1959-0318
Container-title:IRBM
language:en
Short-container-title:IRBM

Author:

Huque A.S.A.,Ahmed K.I.,Mukit M.A.,Mostafa R.

Funder

University of Tabuk

Ministry of Higher Education, Kingdom of Saudi Arabia

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Reference28 articles.

1. A review of fetal ecg signal processing; issues and promising directions;Sameni;Open Pacing Electrophysiol Ther J,2010

2. Recent advances in fetal electrocardiography;Kimura;Open Med Devices J,2012

3. Congenital heart defects. March of dimes [Online]; 2005.

4. Statistical digital signal processing and modeling;Hayes,1996

5. Adaptive noise cancelling: principles and applications;Widrow;Proc IEEE,1975

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