An efficient ECG signals denoising technique based on the combination of particle swarm optimisation and wavelet transform

An efficient ECG signals denoising technique based on the combination of particle swarm optimisation and wavelet transform

During the recording time, electrocardiogram (ECG) signals are subject to multiple artefact noises, such as muscle activity, white Gaussian noise (WGN), baseline wander, and power line interference (PLI). Therefore, pre-processing of ECG signals is essential to eliminate these artefacts and to obtai...

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Bibliographic Details
Main Authors: Abdallah Azzouz, Billel Bengherbia, Patrice Wira, Nail Alaoui, Abdelkerim Souahlia, Mohamed Maazouz, Hamza Hentabeli
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Electrocardiogram
Particle swarm optimisation
Wavelet transform
AWGN
Power line interference
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024022023

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024022023

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