EMD-BSS: A hybrid methodology combining Empirical Mode Decomposition and Blind Source Separation to eliminate the ocular artifacts from EEG recordings-Reference-Cited by-同舟云学术

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EMD-BSS: A hybrid methodology combining Empirical Mode Decomposition and Blind Source Separation to eliminate the ocular artifacts from EEG recordings

Published:2024-09 Issue: Volume:95 Page:106475
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Massar Hamza^ORCID,Stergiadis C.^ORCID,Nsiri B.^ORCID,Drissi T. Belhoussine,Klados M.A.^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Identification and removal of physiological artifacts from electroencephalogram signals: a review;MANNAN;Ieee Access,2018

2. EEG artifacts detection and removal techniques for brain computer interface applications: a systematic review;RASHMI;Int. J. Adv. Technol. Eng. Exploration,2022

3. Artifact removal from EEG signals using regenerative multi-dimensional singular value decomposition and independent component analysis;JUDITH;Biomed. Signal Process. Control,2022

4. Removal of artifacts from EEG signals: a review;JIANG;Sensors,2019

5. Artifacts-matched blind source separation and wavelet transform for multichannel EEG denoising;MOWLA;Biomed. Signal Process. Control,2015

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