ECG Signal Denoising Based on Wavelet Transform and Genetic Algorithm-Reference-Cited by-同舟云学术

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ECG Signal Denoising Based on Wavelet Transform and Genetic Algorithm

Published:2023-03-06 Issue: Volume: Page:
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Container-title:2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS)
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Author:

Abdallah Azzouz¹,Billel Bengherbia¹,Nail Alaoui²,Abdelkerim Souahlia³

Affiliation:

1. University of MEDEA,Department of Electrical Engineering Laboratory (LSEA),ALGERIA

2. University of Ziane Achour,Laboratoire de Modélisation Simulation et Optimisation des Systèmes Complexes Réels,DJELFA,ALGERIA

3. University of Ziane Achour,Laboratoire de Télécommunications Avancées et Systèmes Intelligents,DJELFA,ALGERIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104518/10104524/10105043.pdf?arnumber=10105043

Reference31 articles.

1. Wavelet denoising with evolutionary algorithms;da silva;Digit Signal Process,2005

2. Image Denoising Method based on Threshold, Wavelet Transform and Genetic Algorithm

3. The impact of the MIT-BIH Arrhythmia Database

4. Baseline wander and power line interference removal from ECG signals using eigenvalue decomposition

Cited by 2 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. An efficient ECG signals denoising technique based on the combination of particle swarm optimisation and wavelet transform;Heliyon;2024-03

2. Prediction of Noise-Type and its Elimination from Photoplethysmograph Signal;2024 IEEE 3rd International Conference on Control, Instrumentation, Energy & Communication (CIEC);2024-01-25

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