NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
Article
Article Title | NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals |
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ERA Journal ID | 3391 |
Article Category | Article |
Authors | Shuvo, Samiul Based, Alam, Syed Samiul, Ayman, Syeda Umme, Chakma, Arbil, Barua, Prabal Datta and Acharya, U. Rajendra |
Journal Title | Biomedical Signal Processing and Control |
Journal Citation | 86 (Part C) |
Article Number | 105272 |
Number of Pages | 12 |
Year | 2023 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 1746-8094 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.bspc.2023.105272 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S174680942300705X |
Abstract | Objective: Methods: Results: Conclusion: |
Keywords | Cardiac auscultation; Deep learning; Continuous wavelet transform; Gabor transform; Convolutional neural networks; Lightweight network; Heart sound |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Bangladesh University of Engineering and Technology (BUET), Bangladesh |
Kookmin University, South Korea | |
School of Business | |
Cogninet Australia, Australia | |
University of Technology Sydney | |
Australian International Institute of Higher Education, Australia | |
University of New England | |
School of Mathematics, Physics and Computing | |
Taylor’s University, Malaysia | |
SRM Institute of Science and Technology, India | |
Kumamoto University, Japan |
https://research.usq.edu.au/item/z1w26/nrc-net-automated-noise-robust-cardio-net-for-detecting-valvular-cardiac-diseases-using-optimum-transformation-method-with-heart-sound-signals
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