A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection-Reference-Cited by-同舟云学术

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A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection

Published:2020-05 Issue: Volume:120 Page:103733
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Li Han,Wang Xinpei,Liu Changchun,Zeng Qiang,Zheng Yansong,Chu Xi,Yao Lianke,Wang Jikuo,Jiao Yu,Karmakar Chandan

Funder

National Natural Science Foundation of China

Shandong Provincial Jinan Science and Technology Project

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference55 articles.

1. Limitations of computed tomography coronary angiography;Nissen;J. Am. Coll. Cardiol.,2008

2. A history of cardiac auscultation and some of its contributors;Hanna;Am. J. Cardiol.,2002

3. Dynamical analysis of diastolic heart sounds associated with coronary artery disease;Padmanabhan;Ann. Biomed. Eng.,1994

4. Harmonic decomposition of diastolic heart sounds associated with coronary artery disease;Akay;Signal Process.,1995

5. Acoustic detection of coronary artery disease;Semmlow;Annu. Rev. Biomed. Eng.,2007

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