A novel hybrid energy fraction and entropy-based approach for systolic heart murmurs identification-Reference-Cited by-同舟云学术

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A novel hybrid energy fraction and entropy-based approach for systolic heart murmurs identification

Published:2015-04 Issue:5 Volume:42 Page:2710-2721
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zheng Yineng,Guo Xingming,Ding Xiaorong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Biometric authentication based on PCG and ECG signals: Present status and future directions;Abo-Zahhad;Signal, Image and Video Processing,2013

2. Assessing aortic stenosis using sample entropy of the phonocardiographic signal in dogs;Ahlstrom;IEEE Transactions on Biomedical Engineering,2008

3. Feature extraction for systolic heart murmur classification;Ahlstrom;Annals of Biomedical Engineering,2006

4. Bayesian denoising framework of phonocardiogram based on a new dynamical model;Almasi;IRBM,2013

5. Detection of heart murmurs using wavelet analysis and artificial neural networks;Andrisevic;Journal of Biomechanical Engineering,2005

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