Comparative Analysis of the Phonocardiogram Denoising System Based-on Empirical Mode Decomposition (EMD) and Double-Density Discrete Wavelet Transform (DDDWT)-Reference-Cited by-同舟云学术

Comparative Analysis of the Phonocardiogram Denoising System Based-on Empirical Mode Decomposition (EMD) and Double-Density Discrete Wavelet Transform (DDDWT)

Published:2021 Issue: Volume: Page:593-604
ISSN:1876-1100
Container-title:Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics
language:
Short-container-title:

Author:

Fatmawati T. Y.,Yuliani A.,Afandi M. A.,Zulherman D.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-6926-9_52

Reference20 articles.

1. Ali MN, El-Dahsan EA, Yahia AH (2017) Denoising of heart sound signals using discrete wavelet transform. J Circuits Syst Signal Process 36:4482

2. Dewangan N, Potdar RM (2014) Noise cancellation using adaptive filter for PCG signal. J Emerg Trend Tech Comput Sci 3:38

3. Low JX, Choo KW (2018) IoT-enabled heart monitoring device with signal denoising and segmentation using discrete wavelet transform. International conference on control, automation, robotic and vision, vol 15, p 119

4. Sahoo PK, Thakkar HK, Lee MY (2017) A cardiac early warning system with multi channel SCG and ECG monitoring for mobile health. J Sensors 17:1

5. Ri O et al (2015) Classification of heart sound signal using multi-modal features. J Eng Sci Tech 58:165

Cited by 4 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. Empirical Mode Decomposition (EMD) Based Denoising Method for Heart Sound Signal and its Performance Analysis;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

2. ENTROPY PARAMETER OF CARDIAC DEGREE SEVERITY ANALYSIS;Journal of Mechanics in Medicine and Biology;2023-07-25

3. PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis;The Visual Computer;2023-07-20

4. A new approach to phonocardiogram severity analysis;Journal of Medical Engineering & Technology;2023-07-04