Evaluation of Strategies Based on Wavelet-ICA and ICLabel for Artifact Correction in EEG Recordings

Evaluation of Strategies Based on Wavelet-ICA and ICLabel for Artifact Correction in EEG Recordings

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In quantitative electroencephalography, it is of vital importance to eliminate non-neural components, as these can lead to an erroneous analysis of the acquired signals, limiting their use in diagnosis and other clinical applications. In light of this drawback, preprocessing pipelines based on the...

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Bibliographic Details
Main Authors: Luisa-María Zapata-Saldarriaga, Angie-Dahiana Vargas-Serna, Jesica Gil-Gutiérrez, Yorguin-Jose Mantilla-Ramos, John-Fredy Ochoa-Gómez
Format: Article
Language:English
Published: Universidad Distrital Francisco José de Caldas 2023-01-01
Series:Revista Científica
Subjects:
Artifacts
Alzheimer
alpha
electroencephalography
effect size
E280A
Online Access:https://200.69.103.50/index.php/revcie/article/view/19068

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