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

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

Full description

Autores:

Zapata Saldarriaga, Luisa María
Vargas Serna, Angie Dahiana
Gil Gutiérrez, Jesica
Mantilla Ramos, Yorguin José
Ochoa Gómez, John Fredy

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/42132

Acceso en línea:

https://hdl.handle.net/10495/42132

Palabra clave:

Enfermedad de Alzheimer
Alzheimer Disease
Artefactos
Artifacts
Lóbulo Parietal
Parietal Lobe
Electroencefalografía
Electroencephalography
https://id.nlm.nih.gov/mesh/D000544
https://id.nlm.nih.gov/mesh/D016477
https://id.nlm.nih.gov/mesh/D010296
https://id.nlm.nih.gov/mesh/D004569

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-sa/2.5/co/