Comparative analysis of VEP signals discrimination methods based on time-frequency transformation and CNN-2D

Author:

Cheker Zineb,Chakkor Saad,Oualkadi Ahmed EL,Baghouri Mostafa,Belfkih Rachid,Hangouche Jalil Abdelkader El,Laameche Jawhar

Funder

Abdelmalek Essaadi University

Publisher

Elsevier BV

Reference30 articles.

1. Rigaudière, Florence. ‘V-5 : les Potentiels Évoqués Visuels corticaux (PEV)’. In Oeil Et Physiologie De La Vision, by Florence Rigaudière. Rigaudiere(Florence), 2010. https://doi.org/10.4267/oeiletphysiologiedelavision.120.

2. Toward Brain-Computer Interaction in Paralysis. Human–Computer Interaction Series;Cotrina,2017

3. ‘Wavelet transform analysis of visual evoked potentials: some preliminary results;Drissi;ITBM-RBM,2000

4. Frank W. Drislane, Visual Evoked Potentials From: The Clinical Neurophysiology Primer Edited by: A. S. Blum and S. B. Rutkove © Humana Press Inc., Totowa, NJ.

5. Performance analysis of VEP signal discrimination using CNN and RNN algorithms;Zineb;Neurosci. Inf.,2022

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