Classification of Heart Sounds Using Fractional Fourier Transform Based Mel-Frequency Spectral Coefficients and Stacked Autoencoder Deep Neural Network-Reference-Cited by-同舟云学术

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Classification of Heart Sounds Using Fractional Fourier Transform Based Mel-Frequency Spectral Coefficients and Stacked Autoencoder Deep Neural Network

Published:2019-01-01 Issue:1 Volume:9 Page:1-8
ISSN:2156-7018
Container-title:Journal of Medical Imaging and Health Informatics
language:en
Short-container-title:j med imaging hlth inform

Author:

Abduh Zaid,Nehary Ebrahim Ameen,Wahed Manal Abdel,Kadah Yasser M.

Publisher

American Scientific Publishers

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era;IEEE Computational Intelligence Magazine;2024-08

2. Enhanced Phonocardiogram Classification Performance through Outlier Detection;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26

3. Phonocardiogram Classification by Learning From Positive and Unlabeled Examples;IEEE Transactions on Instrumentation and Measurement;2024

4. Recent Advances in PCG Signal Analysis using AI: A Review;International Journal on Smart Sensing and Intelligent Systems;2024-01-01

5. Parameter-Efficient Densely Connected Dual Attention Network for Phonocardiogram Classification;IEEE Journal of Biomedical and Health Informatics;2023-09

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